Efficient Data Extraction for Freelancers

We need a reliable freelancer to clean and organize an existing database, verify data accuracy, and collect new information from online sources. The work includes reviewing current records, identifying and correcting inconsistencies, updating missing fields, and maintaining a consistent, accurate dataset. You should be comfortable handling structured data, following clear guidelines, and delivering clean, organized results on time. This is a part-time project with potential for ongoing work for the right fit.

Scraping public US investment fund tax supplements and webpages. These are oftentimes PDFs or basic HTML tables.

Looking for an engineer that can provide: normalized extracted data and a runnable Python file or Jupyter notebook that generates it from a list of fund issuers. Accuracy is crucial and pure LLM solutions are too inaccurate.

Expertise in extracting tabular data accurately, web scraping, Python, and working asynchronously are all required.

Nice to have but not required:
- Data engineering experience with ability to manage and create scalable process helping us make timely updates to fund tax information for our customers
- Experience with EDGAR filings
- US personal tax and investment industry domain knowledge

Project Details
$8.00 – 15.00 USD per hour

Bidding ends in 5 days, 4 hours
# Google Cloud AI Vision Expert – Private Tutor / Instructor Wanted

**Job Type:** Freelance / Hourly / Remote

### Job Description

I am looking for an experienced Google Cloud AI and computer vision specialist to provide **one-on-one tutoring and hands-on instruction** on Google's video analysis, object detection, and machine learning software.

**This is NOT a software development project. I am looking for an instructor who can teach me how to use these tools independently.**

### Software I Want to Learn

- Google Cloud Vertex AI
- Vertex AI Vision / Agent Platform Vision
- Google Cloud Video Intelligence API
- Google Cloud Vision AI
- AutoML Vision / AutoML Video Intelligence
- Other relevant Google Cloud computer vision tools

### Topics I Want to Learn

1. How to navigate and use Google's cloud-based AI vision platforms.
2. How to upload and analyze recorded video footage.
3. How to analyze live video streams, including CCTV and security cameras.
4. How to detect, classify, and track people, vehicles, and other objects across video frames.
5. How to train and customize computer vision models.
6. How to use pretrained models versus building custom models.
7. How to extract useful data, insights, and analytics from video.
8. How the different Google Cloud vision products compare, including their capabilities, limitations, and costs.

### Ideal Candidate

- Extensive practical experience with Google Cloud AI and computer vision.
- Strong understanding of video analytics, object detection, and object tracking.
- Experience teaching or training beginners and intermediate users.
- Ability to explain technical concepts clearly without unnecessary complexity.
- Comfortable conducting live screen-sharing sessions with practical demonstrations.

### Teaching Format

I prefer interactive, one-on-one sessions over Zoom or Google Meet, where the instructor walks me through the software step by step.

I want to learn by actually using the platforms, asking questions, and working through practical examples.

**My objective is to become proficient enough to independently operate these tools, understand their capabilities, and eventually build my own video analysis workflows.**

### When Applying

Please provide:

1. Your experience with Google Cloud computer vision and video analytics.
2. Which of the software platforms listed above you have used.
3. Your experience teaching or tutoring others.
4. Your hourly rate and availability.

Skills: Cloud Computing, Analytics, Data Extraction, Computer Vision, Object Detection, Tutoring

I have a stack of PDF reports that contain well-structured tables and lists. Your task is to lift every row from those PDFs and place it accurately into either Microsoft Excel or Google Sheets—whichever you prefer—while preserving the original column order and headings.

Here is what I need from you:

• Extract the tables and lists from the PDFs with zero data loss, then enter them into a clean spreadsheet.
• Apply consistent formatting: clear column headings, uniform date or number formats, and easy-to-scan alignment.
• Run a quick duplicate and error check so the final sheet is free of repeated or obviously incorrect values.
• Deliver the finished file as soon as possible; I’m looking to turn this around right away.

Skills that will help you sail through the work include fast, accurate data entry, strong command of Excel functions (sorting, filtering, conditional formatting), and a knack for tidy Google Sheets layouts. If you are comfortable copy-typing when needed, that’s a plus, though most content is already in table form.

I will supply the PDFs immediately after we kick off. Let me know how quickly you can have the first batch back, and feel free to outline any quality-control steps you’ll use so I know the data is rock-solid.

Skills: Visual Basic, Data Processing, Data Entry, Excel, Copy Typing, Microsoft Office, Data Extraction, Data Analysis, Google Sheets, Database Management

I have a table

ID (varchar) | FieldA (text)

where ID is the primary key, and FieldA is a text field.

FieldA contains long text blocks. I want to search this field for substrings (there can be several of them in a record) in the format "\qty{...}{...}" or "\qtym{...}{...}", where "..." denotes text strings, e.g. "\qty{3}{\gram}" or "\qty{3}{\text{cars}}" or "\qtym{\(x\)}{\kilo\gram}". (This is LaTeX code for the SIUnitsx package, where qtym is a user-defined macro that handles non-numbers like variables \(x\).)

To proof the text, I would like to search and extract all such substrings and form a new table, including the record ID, e.g.

2026-10-08-01 | \qty{3}{\gram}
2026-10-08-11 | \qty{3}{\text{cars}}
2026-05-13-21 | \qtym{\(x\)}{\kilo\gram}

or in the separated format

2026-10-08-01 | qty | 3 | \gram
2026-10-08-11 | qty | 3 | \text{cars}
2026-05-13-21 | qtym | \(x\) | \kilo\gram

Skills: PHP, Data Processing, SQL, MySQL, MariaDB, Database Development, Regular Expressions, Data Extraction

I have a collection of text-selectable PDF invoices that need to be converted into a structured Excel workbook. Each invoice must have its own worksheet, named after the invoice number. Inside every sheet I expect the full header (number, date, supplier, total) followed by a table of every line item, complete with descriptions, quantities, unit prices, taxes, and line totals—nothing skipped.

Because the PDFs are already text-based, no OCR is necessary; copy-paste, scripted parsing, Power Query, VBA, or Python are all acceptable so long as the result opens flawlessly in Excel 2016 or later. Accuracy is critical: figures, currency symbols, and tax percentages have to match the source exactly, and any field you cannot match must be clearly highlighted.

Deliverables:
• One .xlsx file containing a separate, consistently formatted worksheet for each invoice
• Any scripts or macros used so the process can be repeated on future batches

I’ll provide the first 50 invoices once we settle on timing. Let me know your proposed turnaround and the method you plan to use.

Skills: Python, Visual Basic, Data Processing, Excel, Data Extraction, Data Analysis, Automation, Data Management

I assist physicians with their medical credentialing and malpractice insurance applications across multiple surgical centers. My biggest bottleneck is repetitive data entry—filling out various PDF and document applications that have different form layouts, but require almost identical information (e.g., work history, board certifications, state licenses, malpractice history, and personal details).

I am seeking a skilled Python Developer to build an automated workflow that extracts data from previously completed applications and populates new, different application forms.

Key Responsibilities & Scope:
1. Primary Objective: Form-Filling & Data Extraction Engine (Python)
Develop a Python tool to accurately extract data from previously completed applications (PDFs, fillable forms, and scanned documents).

Implement smart field-mapping (using OCR or PDF parsing) so extracted data points can automatically pre-fill new applications with varying structures and formats.

2. Secondary Objective: Basic Document & Data Management (Linux)
Build a straightforward Linux-compatible program/script or local database to store, update, and manage doctor records.

Maintain up-to-date work history, provider profiles, and active documents.

Flag or track expired documents (licenses, certificates) so outdated information is not used to fill new forms.

Required Qualifications:
High proficiency in Python and experience with document parsing/PDF automation (e.g., pdfplumber, PyMuPDF, pypdf, pypdfium2, PDFminer, or OCR engines like Tesseract).

Experience with form manipulation (fillable PDF forms, interactive forms, or coordinate-based text placement).

Focus on data accuracy, privacy, and security (handling sensitive professional records

AI Automation Expert | Data Science, Machine Learning & AI-Powered Workflows

Project Overview

We are looking for a skilled **AI Automation Expert with strong experience in Data Science, Artificial Intelligence (AI), and Machine Learning (ML)** to design, develop, and implement intelligent automation solutions that streamline business operations, reduce manual work, and improve decision-making.

The ideal candidate should be able to understand real-world business challenges and translate them into practical, scalable AI-powered solutions. You should have hands-on experience building automation workflows, integrating AI models and third-party APIs, processing and analyzing data, and deploying machine learning solutions that deliver measurable business value.

Key Responsibilities

**1. AI-Powered Workflow Automation**
- Design and build intelligent workflows to automate repetitive, time-consuming business processes.
- Connect different applications, databases, APIs, and business tools to create seamless automation pipelines.
- Use AI to automate tasks such as document processing, data extraction, classification, summarization, report generation, and information handling.
- Identify opportunities to replace manual processes with reliable, efficient automation systems.

2. AI Agents and Large Language Models (LLMs)
- Develop AI agents and AI assistants that can understand requests, retrieve information, and perform specific tasks.
- Integrate LLMs such as OpenAI GPT and other suitable AI models into business workflows.
- Build retrieval-augmented generation (RAG) systems that allow AI applications to answer questions using company documents, databases, or internal knowledge bases.
- Implement appropriate safeguards, validation, and error handling to improve the reliability of AI-generated outputs.

**3. Data Science and Machine Learning**
- Collect, clean, transform, and analyze structured and unstructured data.
- Develop predictive models for forecasting, classification, customer behavior analysis, anomaly detection, and other business use cases.
- Apply statistical analysis and machine learning techniques to identify patterns, trends, and actionable insights.
- Evaluate model performance, improve accuracy where appropriate, and prepare models for practical deployment.

**4. API Integration and System Development**
- Integrate AI services, external APIs, databases, CRMs, and other business applications.
- Build automation pipelines using tools such as n8n, Make, Zapier, or Python-based solutions, depending on project requirements.
- Develop custom scripts and backend components where standard automation tools are insufficient.
- Ensure workflows are maintainable, secure, scalable, and properly documented.

**5. Testing, Optimization, and Deployment**
- Test workflows and models against real-world scenarios.
- Monitor performance, troubleshoot errors, and optimize execution speed and cost.
- Implement logging, exception handling, and human approval steps where necessary.
- Document the solution and provide guidance for ongoing maintenance and future improvements.

## Required Skills and Experience

- Strong practical experience in AI automation and workflow development.
- Solid knowledge of Data Science, Machine Learning, and statistical analysis.
- Proficiency in Python and relevant libraries such as pandas, NumPy, scikit-learn, or similar tools.
- Experience working with LLM APIs, prompt engineering, and AI application frameworks.
- Experience integrating REST APIs, webhooks, databases, and third-party services.
- Familiarity with automation platforms such as n8n, Make, or Zapier.
- Understanding of data cleaning, model evaluation, testing, and deployment.
- Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.

## Nice to Have

- Experience building AI agents, RAG pipelines, and document-processing systems.
- Familiarity with vector databases and embedding models.
- Experience with cloud platforms, Docker, and deploying AI applications.
- Knowledge of business intelligence, forecasting, and predictive analytics.
- Experience integrating AI solutions with CRM, ERP, marketing, sales, or customer-support systems.
- Understanding of data privacy, security, and responsible AI practices.

Expected Deliverables

Depending on the project scope, deliverables may include:

- A working AI automation workflow or AI-powered application.
- Integrated APIs, AI models, and relevant business systems.
- A predictive model or data analysis pipeline, where required.
- Testing results and performance documentation.
- Technical documentation, setup instructions, and handover support.

How to Apply

Please include the following in your proposal:

1. A brief overview of your experience with AI automation, Data Science, and Machine Learning.
2. Examples of similar projects you have completed, including your specific contribution and the results achieved.
3. The technologies and tools you would recommend for this type of work.
4. Your approach to understanding business requirements and developing a reliable solution.
5. Your availability, estimated timeline, and preferred pricing model.

We value practical problem-solving, clear communication, and solutions that deliver measurable business outcomes. We are interested in building reliable AI systems that solve real problems—not just prototypes or demonstrations.

Please share relevant portfolio projects or GitHub repositories where available.

We are a growing B2B platform looking for a reliable, tech-savvy Lead Generation Specialist to build highly targeted business-to-business list databases for our outbound marketing campaigns across Sub-Saharan Africa. This is a long-term, weekly milestone-based role requiring roughly 3 to 5 hours of work per week.

Your Core Responsibilities:
• Sourcing 500 high-quality B2B contact lists per week (Company Name, Website, Mobile/WhatsApp Number, and Email) across Sub-Saharan Africa based on specific industry verticals.
• Using a variety of creative data-sourcing methods, including web directories, public registries, industry trade event lists, map networks, and localized search strings.
• Cleaning and formatting data in Google Sheets (standardising proper capitalization, stripping out corporate suffixes like "Ltd/Inc/PLC", and removing duplicates).
• Verifying contacts through bulk tools to ensure high list hygiene and zero dead numbers/emails.
Requirements:
• Proven track record of finding data in emerging markets, specifically across African regions where standard LinkedIn coverage can be low.
• Mastery of data extraction tools, scrapers, and list cleaning.
• High attention to detail: leads must look completely natural when dropped into our automation tags (no all-caps, no broken symbols).

To apply, please answer these 3 quick questions:
1. What are your primary tools and methods for sourcing niche business contacts across African markets, where standard LinkedIn coverage is often low but mobile/WhatsApp numbers are critical?
2. What is your preferred tool for bulk contact and phone/email verification?
3. What is your data cleaning process to ensure company names look natural for automated merging (e.g., fixing all-caps or cleaning messy formatting)?

Note: All specific industry niches, keywords, and target geographic countries will be shared privately with shortlisted candidates under strict confidentiality.


Pay Structure: Fixed Price - $35 USD per week

Hi,

I own Veltrix Electrics Ltd, an electrical company in the UK. I am looking for an experienced lead generation and sales specialist to help me get more electrical jobs. Our focus is in the London and Essex areas.

I need someone who can do more than just generate leads. I want someone who can:

- Find potential customers, including landlords, letting agents, estate agents, property managers, and homeowners.
- Contact customers by phone, email, and other appropriate methods.
- Explain our electrical services professionally and generate genuine interest.
- Follow up with customers and quotations.
- Arrange appointments and help convert enquiries into confirmed jobs.
- Build long-term relationships with landlords and letting agents to secure regular electrical work.

Our services include EICRs, consumer unit and fuseboard upgrades, rewiring, EV charger installation, emergency lighting, fire alarms, and electrical maintenance.

I am looking for someone experienced who can manage the lead generation and customer communication process independently.

Please tell me about your experience, how you would generate customers for my business, your expected costs, and what results you could realistically deliver.

I would prefer to start with a small trial and increase the work if the results are good.

Thank you.

We are looking for an experienced specialist in large-scale web scraping, data extraction, and high-performance data pipelines.

Our goal is to collect product data from multiple e-commerce stores across most countries worldwide, completing the entire collection process within a single day.

Our main priorities are:
- High-speed data collection at scale.
- Maximum accuracy and completeness of product data.
- Efficient handling of large numbers of stores and products.
- Reliable and consistent results across different countries and websites.

We are looking for someone with proven experience handling large-scale data collection projects under strict time constraints.

Before applying, please answer:

1. Have you worked on large-scale e-commerce product data collection projects?
2. Can you handle collecting product data from multiple stores across different countries within 24 hours?
3. What experience do you have with high-performance scraping pipelines and distributed data extraction?
4. How would you ensure accuracy and completeness while maintaining high collection speeds?

Please apply only if you have relevant hands-on experience and are confident you can handle this level of scale, speed, and accuracy.

I have a set of PDF and scanned documents that need to be turned into a clean, well-structured Microsoft Excel file. From each document I only need specific fields—primarily names, dates, and monetary amounts—so the job is less about transcribing every word and more about pulling the key data points with absolute accuracy.

Here’s how I picture the flow:

• You receive the PDFs in batches, review them, and let me know if anything is unclear.
• You extract just the requested fields and place them in a pre-formatted Excel template I will supply.
• Before sending the file back, you run a quick spot-check against the originals to be sure every entry matches.

Because these are scanned files, an eye for detail is essential; automated OCR tools are fine as long as the final sheet is error-free. Consistency in spelling, date formats, and currency symbols matters to me, so I’ll share a short style guide up front.

Turnaround time and pricing are flexible—just outline what you’ll need per batch and any milestones you prefer. If you’re reliable, comfortable following straightforward instructions, and able to keep the information confidential, we should be a good match. I’m ready to start as soon as you are.

Skills: Data Processing, Data Entry, Training, Excel, PDF, OCR, Fashion Modeling, Data Cleansing, Data Extraction, Data Management

I manage the bookkeeping and statutory compliance for several small businesses, shops and independent professionals and now want to delegate the day-to-day accounting cycle to an experienced hand. You will work directly in my Zoho Books / Zoho Payroll workspace (full access is granted) and will use Google Gemini to streamline reconciliations or data extraction.

Your core responsibilities revolve around three recurring deliverables:
• GST returns and bookkeeping – monthly input/output reconciliation and GSTR-1, GSTR-3B filing.
• TDS returns and payroll records – quarterly 26Q/24Q preparation, payroll journal posting and Form 16 generation.
• Income tax returns and final accounts – year-end financial statements followed by ITR filing for each client.

Most of my clients are micro-enterprises or solo professionals, so accuracy and clear explanations are essential. The work is fully remote; I provide the login credentials, prior-period trial balances and any supporting documents. All filings must be completed before statutory deadlines, with working papers maintained inside Zoho for quick reference.

If cloud accounting, Indian tax portals and AI-driven workflows are second nature to you, I’d be happy to set up a quick interview, agree on milestones and get you started this month.

Skills: Accounting, Tax, Zoho, Bookkeeping, Artificial Intelligence, Data Extraction, Tax Preparation, Gemini

I have a batch of printed documents and PDFs that need to be recreated in Excel with absolute fidelity. Every visible word, figure, and symbol must appear in the spreadsheet exactly as it does on the source files—no omissions, no re-formatting, no summarising.

You’ll receive the scans or PDFs and an empty Excel workbook. Your job is to key in the information line-for-line, character-for-character, preserving original order and spelling. Accuracy takes priority over speed; I’ll be cross-checking every cell against the originals.

Deliverables
• One Excel file per source document (unless a different structure is more efficient and you clear it with me first).
• Data entered verbatim, mirroring the layout where practical.
• A short completion note highlighting any illegible sections so I can verify them before sign-off.

If you are meticulous, comfortable with repetitive entry, and experienced in handling OCR-resistant PDFs, this will be straightforward work.

Skills: Data Entry, Excel, PDF, Word, OCR, Data Extraction, Data Management, Data Annotation

Looking for a developer who can create a system to extract required information/ data weekly or monthly(customised) from platforms like coinmarketcap, coingecko etc

I need 30 US-based IT companies with 10–100 employees, along with contacts holding Software Engineer or Manager titles.

The deliverable must be a Google Sheet with separate Companies and People tabs, plus a Master tab that combines the data using VLOOKUP and Google Apps Script.

You should have experience with Apollo, Lead Generation, B2B Lead Generation, LinkedIn Lead Generation, Prospect List creation, Sales Lead List building, List Building, Contact List research, Google Sheets, and Google Apps Script.

Pentru fiecare piesă am deja codul OE și denumirea actuală; îmi lipsește însă un titlu în limba română optimizat SEO, categoria exactă a piesei și lista de mărci / modele auto compatibile. Vreau să automatizez întregul proces cu ajutorul inteligenței artificiale:

• Algoritmul trebuie să parcurgă mai multe surse online, să recunoască rapid categoria (ex. „braț suspensie”, „filtru ulei” etc.) și să identifice vehiculele pe care piesa se potrivește.
• Pe baza acestor date va genera un titlu comercial atractiv, bogat în cuvinte-cheie relevante pentru Google, dar natural pentru clienții din România.
• Rezultatul final pentru fiecare cod se exportă într-un fișier Excel/CSV cu minimum patru coloane: Cod OE, Titlu SEO, Categorie, Compatibilități (brand & model).

Skills: Python, Data Processing, SEO, Data Extraction, Data Analysis, Data Integration, Data Management, AI Content Creation, AI Automation, Data Annotation

I need a small tool that automatically pulls the past-round data from the official 1Win Lucky Jet page and presents it in an easy-to-read table. The only details I care about per round are the multiplier, the exact game time, and the round ID—nothing more, nothing less.
The flow I picture is straightforward: a lightweight scraper (Python, Node, or similar is fine) fetches fresh results directly from the public site, saves them to a local file or database, and a simple web interface or CLI command then displays the latest history on request. No betting, simulations, or statistical add-ons; just clean tracking of the published outcomes.

Deliverables
• Working script that grabs data from the official Lucky Jet page
• Storage logic (CSV, SQLite, or another sensible option)
• Display layer showing multiplier, time, and round ID in chronological order
• Brief setup guide so I can run or schedule the fetch on my own machine

If you have experience with web scraping, rate-limiting, and a minimal UI, this should be quick.

Skills: PHP, Python, Web Scraping, Software Architecture, Node.js, SQLite, Data Extraction, Data Management

Seeking a skilled Data Analyst / Technical Freelancer to assist with data organization, extraction, and validation tasks for an ongoing project. This is a short-term, fully remote contract requiring high attention to detail and experience working with data files.

Key Responsibilities:
• Review, clean, and organize multi-format data inputs to ensure formatting consistency.
• Extract specific text datasets, annotations, and contextual elements based on predefined rules.
• Cross-reference and validate tabular data, numeric figures, and written information against primary sources for absolute accuracy.
• Format final deliverables into clean Markdown (.md), CSV, or text documentation files as required.

Required Qualifications & Skills:
• Proven experience in Data Analysis, Technical Data Entry, or Business Analytics.
• Strong proficiency in managing large text datasets and handling unstructured data.
• Familiarity with Markdown formatting and spreadsheet software (Excel/Google Sheets).
Project Type: One-time project (Short-term)

Skills: Data Processing, Data Entry, Excel, SPSS Statistics, Data Extraction, Business Analytics, Data Analysis, Data Management

Project Type: Web Application / SaaS Development
Experience Level: Intermediate to Expert
Engagement: Initial MVP with potential for long-term development
Location: Worldwide / Remote

About the Project

We are Syntrex, a Canada-based AI solutions company seeking a skilled and resourceful full-stack developer to help bring an innovative AI-powered wedding and event planning platform to life.

Our vision is to develop a modern, intelligent, and user-friendly platform that transforms how professional wedding planners manage their businesses, coordinate events, automate repetitive tasks, and increase profitability.

We are particularly interested in creating a solution for multicultural and multi-day weddings, where planning requirements, traditions, vendor coordination, and event schedules can be considerably more complex.

We are looking for a developer who can think beyond simply executing instructions, contribute ideas, recommend cost-effective technical solutions, and help us develop a scalable product.

Key Features and Functionality

We envision the platform eventually incorporating the following capabilities.

1. AI-Powered Multicultural Wedding Planning

Customizable planning templates for Sikh, Hindu, Muslim, Christian, interfaith, and other wedding traditions.
Automatically generated event checklists, schedules, vendor requirements, and planning workflows.
Support for multi-day celebrations and multiple ceremonies.
Ability to customize templates based on family preferences, location, guest count, and event requirements.
AI assistance in identifying planning considerations and missing tasks.
2. Intelligent Wedding Project Management

Centralized dashboard to manage multiple weddings simultaneously.
Wedding timelines, task management, deadlines, and reminders.
Team assignments and progress tracking.
Ability to duplicate previous weddings and reuse planning workflows.
Automated creation of new wedding projects from existing templates.
3. AI Document Processing and Automation

Import existing Excel spreadsheets and planning documents.
Extract and organize relevant tasks, schedules, budgets, and vendor information.
Transform previous wedding files into reusable templates.
Reduce manual data entry, repetitive copy-and-paste work, and administrative tasks.
4. Vendor Management and AI Automation

Centralized vendor database and contact management.
AI-generated vendor inquiries and requests for quotations.
Vendor quotation comparison and cost analysis.
Tracking of vendor agreements, payments, deliverables, and deadlines.
Automated communication drafts and follow-up reminders.
5. Budgeting and Financial Intelligence

Wedding budgets and expense management.
Estimated versus actual cost tracking.
Profitability analysis by wedding or event.
Financial dashboards and reporting.
AI-assisted identification of budget overruns and cost-saving opportunities.
6. AI Client Management and Business Growth

Client inquiry and lead management.
AI-assisted responses to potential clients.
Personalized wedding proposals and quotations.
Follow-up reminders and booking pipeline tracking.
Business performance analytics, including bookings, revenue, and profitability.
7. AI Wedding Planning Assistant

An integrated AI assistant capable of helping planners:

Generate wedding plans, timelines, and checklists.
Draft client and vendor communications.
Summarize wedding documents and meeting notes.
Suggest next steps and highlight outstanding tasks.
Answer questions using information stored within the relevant wedding project.
Development Approach

We understand that building a comprehensive platform requires multiple stages.

We are not expecting every feature listed above to be completed in the initial release.

We would like the selected developer to help us:

Evaluate and prioritize features for an initial MVP.
Recommend an efficient and scalable technical architecture.
Identify existing frameworks, APIs, and tools that can accelerate development.
Build a polished, functional first version of the application.
Establish a foundation for future features and integrations.
We value developers who can balance functionality, user experience, development time, and long-term maintainability.

Technical Experience

Experience in the following areas is preferred:

Full-stack web application and SaaS development.
React, Next.js, or equivalent frontend technologies.
Node.js, Python, or similar backend frameworks.
OpenAI API or comparable LLM integrations.
Supabase, Firebase, PostgreSQL, or similar database technologies.
AI-powered document processing.
Excel and PDF data extraction.
Workflow automation and third-party API integrations.
Secure authentication and multi-user application architecture.
Cloud deployment and application maintenance.
We are open to alternative technologies if they provide a better balance of cost, performance, and scalability.

What We’re Looking For

The ideal candidate:

Has experience building functional SaaS products, preferably with AI capabilities.
Can demonstrate previous applications or relevant portfolio projects.
Has strong problem-solving skills and attention to user experience.
Can recommend practical alternatives to expensive or unnecessarily complex development.
Communicates clearly and provides transparent estimates.
Is comfortable collaborating with a nontechnical founder.
Is interested in a potential long-term working relationship.
Deliverables

For the initial engagement, we would like:

A proposed MVP feature roadmap.
Recommended technology stack and architecture.
Estimated development hours and milestones.
A working, responsive web application based on the agreed MVP scope.
Source code maintained in a repository controlled by Syntrex.
Deployment to accounts owned by Syntrex.
Basic testing, documentation, and technical handover.
Project-specific intellectual property and code ownership will be addressed in the contract.

How to Apply

Please include:

Examples of AI-powered SaaS applications or similar platforms you have developed.
Your recommended approach to building this platform efficiently.
Which features you would prioritize for the first MVP and why.
Your estimated development timeline and hours for the initial release.
Your experience integrating AI APIs and working with Excel/document imports.
Whether you work independently or with a development team.
Your availability for ongoing development.
Please begin your proposal with “Syntrex AI” and briefly explain how you would approach the multicultural wedding template and automation features.

We are looking for a developer who is interested in helping us build a meaningful product, not simply completing a one-time coding assignment.

I’m looking for an experienced Backend Engineer to build an AI-powered backend system that can process multiple types of tax documents, classify each document, and extract all filled fields and their corresponding values into structured JSON.

The system must automatically identify the type of tax document uploaded, determine its structure, and extract all available information accurately.

Scope of Work

The backend should perform the following steps:

1.⁠ ⁠Document Upload: Accept tax documents through a single API endpoint.
2.⁠ ⁠Document Classification: Automatically identify the type of tax document being uploaded.
3.⁠ ⁠Data Extraction: Extract all filled fields and their corresponding values from the classified document, including relevant dates, names, addresses, tax identification numbers, financial figures, checkboxes, and other available information.
4.⁠ ⁠JSON Response: Return all extracted information in a well-structured JSON format, organized according to the document type.

The system should handle multiple tax document types and support scanned documents as well as digitally generated PDFs, where applicable.

Technical Requirements

•⁠ ⁠FastAPI only for the backend API.
•⁠ ⁠A single endpoint to handle document upload, classification, extraction, and JSON response.
•⁠ ⁠AI/LLM-based document understanding and extraction.
•⁠ ⁠OCR support for scanned documents, if required.
•⁠ ⁠Structured and consistent JSON output.
•⁠ ⁠Proper validation, error handling, and logging.
•⁠ ⁠Maintainable, modular, and production-ready code.

Expected API Workflow

Input: A tax document uploaded as a PDF or supported image file.

Processing: Document classification to Field extraction to JSON validation.

Output: A JSON response containing the document type and all extracted field names and values.


Deliverables

•⁠ ⁠Fully functional FastAPI backend.
•⁠ ⁠One API endpoint for the complete workflow.
•⁠ ⁠Automatic document classification and field extraction.
•⁠ ⁠Validated JSON responses.
•⁠ ⁠Source code and setup instructions.
•⁠ ⁠Basic testing with representative tax documents.

Ideal Candidate

You should have experience with:

•⁠ ⁠FastAPI and Python backend development.
•⁠ ⁠AI-powered document processing and information extraction.
•⁠ ⁠OCR and PDF processing.
•⁠ ⁠LLMs, structured outputs, and JSON validation.
•⁠ ⁠Building reliable document-processing pipelines.

When applying, please briefly describe your proposed approach, the AI/OCR technologies you would use, and any relevant document extraction projects you have built.

Note: This project is focused exclusively on backend development. No frontend or UI work is required.

I would like to expand the AppraisalFlow AI project requirements.

In addition to email order detection, property research, and inspection scheduling, the application must automatically collect and organize source documents for each appraisal assignment.

The system should retrieve available assessor property cards, recorded deeds, recorded plot/plat plans, assessor parcel maps, municipal zoning information, FEMA flood maps, and building permit records.

It must display original documents and allow appraisers to select individual pages or images, crop them, copy images to the clipboard, and download them as PNG or PDF files for use in appraisal reports.

Each assignment must have an organized digital workfile containing original source documents, extracted images, research summaries, and source references.

The appraiser must be able to download the entire workfile as a ZIP file or save individual documents.

Please include this functionality in the MVP proposal and identify which Massachusetts public-record sources can be integrated reliably, which require licensing, and which require manual retrieval.

Please provide a separate fixed-price milestone for the document retrieval, image extraction, and workfile export features.

The system must not substitute an assessor map for a recorded plan or present unverified zoning conclusions as established facts.

Expert B2B Researcher – Booking Software Opportunities

We are seeking a highly experienced B2B research and lead generation specialist to identify exceptional business opportunities worldwide for our bespoke booking software solutions.

This is a research-intensive role requiring strong commercial judgement, detailed investigation and the ability to distinguish genuine buying opportunities from ordinary business contact lists.

About the opportunity

We provide tailored online booking systems for businesses and organisations across multiple industries. Solutions can integrate with existing websites or include a new website where appropriate.

Our focus is helping businesses improve bookings, scheduling, reservations, customer management and related administrative processes.

Ideal businesses to identify

We are particularly interested in businesses and organisations that:

* Handle substantial recurring bookings, appointments, reservations, registrations or customer payments.
* Experience genuine difficulties managing bookings through telephone calls, emails, WhatsApp, social media, spreadsheets or manual processes.
* Have evidence of missed enquiries, scheduling difficulties, administrative overload, booking errors or inefficient customer management.
* Use existing booking software that is unsuitable, unreliable, restrictive or causing demonstrable dissatisfaction.
* Have outdated or poorly functioning booking systems that could benefit from a tailored alternative.
* Operate at significant scale, ideally generating hundreds or thousands of bookings monthly, although exceptional smaller opportunities are also welcome.

All industries and geographical locations may be researched.

Research and qualification requirements

We require thorough investigation using Google, business websites, social media, public reviews, forums and other credible sources.

Recent, verifiable evidence of genuine unresolved problems is particularly important.

Candidates must assess existing booking arrangements, investigate competing solutions and establish whether there is a compelling reason for each business to consider an alternative.

We are not interested in speculative leads or businesses that already have satisfactory solutions.

Researchers must actively eliminate weak opportunities, including businesses that:

* Have effective existing systems and little incentive to change.
* Are satisfied with their current arrangements.
* Depend on manual customer interaction where automation would provide little benefit.
* Have already resolved the problems identified.
* Would face unnecessary disruption from adopting a new solution.
* Have insufficient recurring booking activity.

Manual processes or existing software do not automatically disqualify a business. The key consideration is whether there is clear evidence of an unresolved problem and a meaningful opportunity for improvement.

Required deliverables

Qualified opportunities must be presented in a structured spreadsheet containing:

* Business name, industry, location and website.
* Active contact channels and relevant decision-makers.
* Current booking methods and software.
* Specific problems identified, with supporting evidence and source links.
* Realistic estimated monthly booking volume and the reasoning behind it.
* Explanation of why the business could benefit from our solution.
* Potential objections or reasons for rejection.
* Recommended contact channel and personalised outreach approach.
* Overall opportunity assessment.

We prioritise quality, evidence and realistic conversion potential over lead quantity.

Experience required

Applicants should demonstrate:

* Extensive B2B prospect research and qualification experience.
* Strong investigative and analytical skills.
* Experience researching SaaS, software or technology-service opportunities.
* Ability to identify genuine business needs and commercial buying signals.
* Excellent written English and clear reporting.
* Independent working ability and sound commercial judgement.

Experience with personalised outreach and converting researched opportunities into interested clients is highly desirable.

Working arrangement

We will begin with a short paid trial to evaluate research quality, accuracy and commercial relevance.

Successful applicants may receive substantial ongoing work and opportunities for a long-term working relationship.

When applying, please provide examples of previous research projects, measurable results, and whether you personally perform the work or delegate it to a team.

I need someone to use AirBNB, FurnishedFinder, and any other similar sites to find short term rental homes that meet the following criteria:

-Located in Gilbert AZ, USA or Queen Creek, AZ USA
-Is a house (not townhouse, apartment, etc.)
-One story/one level house
-Fully furnished
-At least 4 bedrooms
-At least 5 beds
-Accepts Pets
-Available from June 1, 2027 - September 30, 2027

Create a spreadsheet for all homes that match this criteria including:

-Link to the listing
-Number of bedrooms
-Number of beds
-Number of bathrooms
-Price per month
-Pool (yes/no)
-TV's in every bedroom (yes/no)
-Address (if available)

In need of a freelancer to analyze data that has been extracted from specific websites to ensure that the information is accurate and current. The work involves formatting the data into an excel spreadsheet, verifying the data, and replacing or updating if necessary to produce the most current, accurate records. Must have experience with similar tasks and be able to deliver reliable, organized results in a timely fashion. Attention to detail is a must. Long-term opportunity for the right individual.

About Us

We’ve built our own predictive sports analytics SaaS platform and are looking to expand our team with talented developers who can help us continue improving and scaling the product.

Our platform uses predictive modeling and data analytics to help users make more informed sports betting decisions.

What We’re Looking For

We’re looking for an experienced AI/ML developer with strong technical skills who can help us improve and expand key features, including:

* AI Signals: Improving predictive signals and model performance.
* Live Signals: Developing real-time predictions and in-game analytics.
* Player Props: Enhancing player performance predictions and projections.
* Arbitrage & Data Analytics: Supporting odds analysis, data processing, and identifying opportunities.
* Model Optimization: Improving accuracy, reliability, and overall system performance.

Ideal Candidate

* Experience with Python, machine learning, and predictive modeling.
* Strong data analysis and statistical skills.
* Experience working with APIs, real-time data, and large datasets.
* Ability to evaluate existing systems and recommend improvements.
* Strong communication skills and a collaborative mindset.

We’re looking for someone who can contribute their expertise, bring new ideas to the table, and potentially develop into a long-term member of our team.

If you have relevant experience and are interested in helping us build and scale our platform, we’d love to hear from you. Please share examples of relevant projects and explain how your experience could help us.

Help me find solutions to my small business.
I need some ai automation solutions
I need a profesional work

I have a batch of text-based PDFs where all the text is already selectable—no OCR is required. All I need is the raw content transferred into individual Word documents, with absolutely no concern for preserving the original layout, images, or hyperlinks. Headings, tables, images, and any other non-text elements can be ignored; the goal is a clean, continuous stream of text that I can later reformat myself.

Please use whatever reliable method you prefer—Adobe Acrobat, Automator, Python scripts, or a dedicated conversion utility—as long as the final .docx files open cleanly in Word 2019+ without extra line breaks or hidden formatting codes.

Deliverable:
• One .docx file per source PDF containing only the extracted text, ready for my own formatting.

Accuracy in capturing every character matters more than speed, and a quick turnaround would be appreciated.

Skills: Data Processing, Data Entry, Excel, Word, Copy Typing, Word Processing, Data Extraction, Microsoft Word

I have a folder of PDFs, each containing a single invoice, and I need their key details captured in an organised spreadsheet. For every file you’ll open, only four values matter to me: the invoice number, invoice date, supplier name, and total amount. Please copy those exactly as they appear and place them in the appropriate columns of the Excel sheet I will share.

Occasionally a scan may be blurred or a field partly obscured. When that happens, type the best value you can confidently read, then apply a yellow fill to that cell so I can double-check it later. Do not leave anything blank unless the field is truly unreadable.

Deliverables
• One Excel workbook containing a separate row per invoice, populated with the four fields above
• Cells highlighted where information was uncertain or estimated
• The workbook returned in the original column order I provide

Accuracy is more important than speed, but the job is straightforward: open each PDF, capture the four data points, highlight any doubtful figures, save, and move on to the next file. No line-item details, taxes, or extra accounting fields are required.

If you already use tools such as Adobe Acrobat, PDF-to-Excel utilities, or simple copy-paste from a reliable PDF reader, feel free to employ them as long as the final sheet is clean and consistently formatted.

Once the first batch is completed and spot-checked, I’ll release the next set.

Skills: Visual Basic, Data Entry, Excel, PDF, Data Extraction, Data Analysis, Adobe Acrobat, Data Management

Scope

* Invoice automation: Finish the existing Claude/Zoho workflow, including validation, duplicate prevention, approvals and error handling.
* Business workflows: Review the morning/evening control tower, daily business brief and subcontractor opportunity watch. Recommend what to keep, migrate or improve.
* Sales automation: Coordinate with the GHL specialist on enquiry capture, qualification, consultation bookings, quote follow-up and installation handover. Connect sales status and outstanding actions to the dashboard.
* Worker sourcing: Build a daily shortlist of potential electricians, solar installers and trade assistants using agreed, accessible sources. Explore Facebook and other recruitment channels, confirming access limitations first. Include source links, stated experience, availability and details needing verification.
* Central dashboard: Bring together jobs, invoices, sales, opportunities, potential workers, priorities and approval requests.
* Reliability and handover: Add scheduled runs, run history, failure alerts, testing and clear documentation.

Delivery: Complete invoicing first. Scope and price the remaining workflows as separate milestones. The GHL specialist owns CRM and sales configuration; the Claude developer owns the AI workflows and dashboard integrations.

Invoices, outreach and outgoing communications require my approval. I’m open to simpler or more cost-effective approaches.

Job Description
​About the Project:
We are a freight forwarding company looking for an experienced AI & Automation Specialist to immediately streamline our weekly ocean freight scheduling operations.
​Currently, our team spends significant manual effort extracting vessel schedules from multiple shipping lines, designing individual destination schedule PDFs, and manually answering schedule inquiries from clients and sales teams.
​We are executing this in two phases. This contract is strictly for Phase 1 (Quick Operational Win), with the selected freelancer having the first opportunity to build Phase 2 (Customer Web Portal & Instant Pricing Engine).
Scope of Work (Phase 1 Deliverables)
​Schedule Data Ingestion & Centralized Database:
​Extract schedule data points (POL, POD/Destination, Carrier, Vessel Name, ETD, ETA, Transit Time) from incoming carrier emails, Excel files, or PDFs using AI parsing / OCR tools.
​Centralize the data into a structured cloud database (Airtable, Google Sheets, or Supabase) designed with clean schema so it can later power a web app frontend.
​Automated Weekly PDF Generation:
​Automate the creation of our standardized weekly PDF sailing schedules across 15+ destination ports using our brand template and layout.
​Auto-organize and save generated files into weekly cloud folders (e.g., Week 40, Week 41).
​Internal & Client AI Query Bot (WhatsApp / Web / Slack):
​Deploy an AI query assistant connected to the live database so our internal team can look up next available vessels, transit times, and ETDs using natural language (English / Arabic).
​Integrate with our WhatsApp Business number to automatically answer vessel schedule inquiries and send the corresponding destination PDF to clients on demand.Required Skills & Tech Stack
​Demonstrated expertise in workflow automation tools: Make.com, n8n, Python, or Zapier.
​Strong background in AI document parsing & LLM integration (OpenAI API, Claude, or specialized OCR).
​Experience with WhatsApp Business API (via Twilio, 360dialog, WATI, or similar).
​Proficiency in database design (Airtable, PostgreSQL, Supabase, or Google Sheets).
​Prior experience with logistics, shipping lines, or freight forwarding data is a major plus.
​Fluent written and verbal English communication.

How to Apply
​Please submit your proposal including:
​Two or three relevant automation or document-parsing projects you have previously delivered.
​Your recommended architecture/tools for this setup (e.g., n8n vs. Make.com, database choice).
​Estimated turnaround time and milestone-based cost breakdown for Phase 1.