About Us Paragon International, Inc. is a U.S.-based manufacturer of commercial concession equipment and food service products. We receive purchase orders from customers such as Amazon, Home Depot, distributors, school systems, and other commercial customers. Orders arrive by email in many different formats, including PDFs, Word documents, Excel spreadsheets, scanned documents, and occasionally photographed purchase orders. We are looking for an experienced AI Automation Engineer to design and build a production-ready system that automates our entire order intake process. This is not a simple chatbot project. We need someone who has successfully built business automation systems that combine AI, OCR, document processing, APIs, and workflow automation. Project Overview The system will monitor one or more Gmail inboxes continuously and automatically process incoming emails and attachments. The workflow should: * Monitor Gmail 24/7 for new incoming emails. * Download all attachments automatically. * Read: * PDF files * Microsoft Word documents * Excel spreadsheets * Scanned PDFs * Image files (JPG, PNG, TIFF, etc.) * Photographs of purchase orders * Use OCR when required. * Use AI to determine whether the email is: * Purchase Order * Quote Request * Cancellation * Return/RMA * Customer Inquiry * Other * Identify the customer automatically. * Extract all order information into a standardized data structure. * Detect duplicate purchase orders. * Automatically print valid purchase orders to our network printer. * Save documents into organized folders. * Rename files using a consistent naming convention. * Move processed emails into Gmail folders/labels. * Generate logs for auditing and troubleshooting. ## Future Phases The initial project focuses on reliable document processing and printing. Additional phases may include: * Sage 100 ERP integration * Automatic sales order creation * Inventory verification * Customer acknowledgment emails * Shipping workflow automation * Dashboard and reporting * AI exception handling * Multi-location printing We are looking for a long-term development partner who can continue improving the system over time. ## Required Skills Please apply only if you have strong experience with most of the following: * OpenAI API / ChatGPT API * Gmail API * OCR technologies (Tesseract, Azure Document Intelligence, Google Vision, AWS Textract, or similar) * Intelligent Document Processing (IDP) * PDF parsing * Workflow automation * Python * REST APIs * Windows automation * Network printing * Error handling and logging * AI document classification Experience with the following is a significant advantage: * n8n * Microsoft Power Automate * Make.com * ERP integrations * Sage 100 * Purchase Order processing * Manufacturing or distribution businesses ## Deliverables The completed solution should: * Run continuously with minimal supervision. * Be reliable enough for production use. * Handle errors gracefully. * Be well documented. * Be easy for our staff to maintain. * Be scalable as our order volume grows. ## To Apply Please include: 1. A description of similar automation projects you have completed. 2. Which automation platform you recommend (Python, n8n, Power Automate, Make, or another solution) and why. 3. Examples of AI document processing or OCR projects you've built. 4. Your experience integrating with ERP systems. 5. Your estimated timeline. 6. Your hourly rate or fixed-price proposal. Please begin your proposal with the phrase: **"I have built AI document automation systems."** This helps us identify applicants who have carefully read the project description. We are looking for a long-term partner, not just someone to complete a single project. If this project is successful, additional work will include ERP integration, warehouse automation, customer service automation, purchasing automation, and AI-driven business process improvements.

Background - manufacturing engineering and AI company We're building a curriculum teaching the first-principles of AI in manufacturing and engineering automation to a mix of existing plant operators and software engineers with EE/ME backgrounds You should love reducing complex systems to their essential components - we're open to people from a range of backgrounds: AI systems, MES engineering, robotics automation, CNC integration

I need a freelancer to build an AI agent for one simple task. The task involves scraping data from a webpage on a daily basis and then posting that data to an excel document on a daily basis. The task would then run automatically and keep copies of the screen shots so that the data can be verified.

Hi I am looking to create an AI agent that is friendly with Copilot but could work with other common AI platforms. Details: An AI RFP agent to streamline the entire procurement process by drafting RFPs, recommending deliverables, checking for missing requirements, and ensuring USDA/AMS compliance. It could automatically compare vendor proposals, score them against predefined criteria, identify risks and gaps, recommend vendors based on past performance, and generate executive summaries and recommendation memos. Once a vendor is selected, it could also create statements of work, project timelines, and contract milestones while capturing lessons learned to continuously improve future RFPs. The result is a faster, more consistent, and more strategic procurement process that allows the team to spend less time on administration and more time selecting the best partners.

I’m looking for a developer to help build a lightweight AI prototype using OpenAI or Anthropic APIs. This is NOT a full product build. This is a focused prototype to test a specific idea. Project Goal: Build a simple Python-based system that: Runs the same LLM task multiple times. Captures outputs and any intermediate state (memory/logs). Compares differences between runs. Classifies differences into simple categories: Stable Boundary Violation What This Means Think: •Run the same prompt 5–10 times. •Log results. •Detect where outputs or stored data differ. •Label those differences. That is it. Technical Requirements Must have: •Python •Experience with OpenAI API or Anthropic API •Ability to build simple, clean scripts (no over-engineering) Nice to have: •LangChain or similar frameworks. •Streamlit (for simple UI/dashboard). •Experience with logging or comparing outputs. Important Constraints This should be: •Lightweight. •fast to build. •easy to understand. Please DO NOT: •Design complex architectures. •build full systems. •over-engineer. Deliverables •Python script or small app. •Ability to run repeated LLM tasks. •Stored logs of runs (JSON or similar). •Basic comparison logic between runs. •Simple classification output. Timeline •3–7 days initial build •Max 1–2 weeks total Engagement Style •Fixed-price or hourly (open to discussion) •Will start with a small paid test task before full project Screening Question (Required) Please answer this: If you needed to run the same LLM task multiple times and compare outputs/state between runs, how would you build it quickly? Who This Is For Ideal candidate: •Builds fast prototypes. •Comfortable with LLM APIs. •Prefers simple solutions over complex systems.

Senior Computer Vision / AI Engineer — Proof-of-Concept Development AiChairWatch™ is seeking an expert-level Computer Vision / AI Engineer to develop a focused proof of concept for a patent-pending recreational seating-management technology. This is a paid, project-based independent contractor engagement. The initial objective is to establish technical feasibility and build a controlled POC—not a full commercial SaaS platform. Project Scope The POC will use computer vision and video analytics to detect people and recreational seating, establish and maintain temporary person-to-seat associations, track movement within defined spatial areas, generate state-based events, and support a lightweight operational dashboard. The engineer will be expected to help determine the appropriate technical architecture rather than simply implement a predetermined technology stack. Initial work will include: Review confidential technical requirements under NDA Evaluate technical feasibility and recommend the POC architecture Process live and/or recorded camera video Detect people and recreational seating Establish temporary person-to-seat associations Maintain associations as people move through the monitored environment Handle temporary occlusion and tracking loss Determine movement relative to configurable spatial zones Generate defined system events and state transitions Implement basic event/timing logic Create a lightweight staff-facing POC dashboard Log system events and test results Measure and document performance, limitations, and failure conditions Provide recommendations for subsequent pilot development Required Experience We are specifically looking for someone with substantial hands-on experience in real-world computer vision/video analytics. Strong experience should include several of the following: Python OpenCV YOLO or comparable object-detection frameworks Multi-object tracking Person tracking and/or re-identification Occlusion handling Spatial reasoning / regions of interest / geofencing Video-stream processing RTSP/IP camera integration Event-driven application development REST APIs/backend development Git-based source control Experience with technologies such as ByteTrack, BoT-SORT, DeepSORT, NVIDIA DeepStream, Jetson, ONNX, TensorRT, or comparable CV/edge-AI technologies is desirable but not mandatory. What We Are NOT Looking For This is not primarily a generative-AI, ChatGPT, LLM, chatbot, or prompt-engineering project. The primary technical challenge involves computer vision, persistent object/person tracking, spatial reasoning, and reliable state determination from video. Initial Development Approach The engagement is expected to begin with a paid technical feasibility and architecture milestone. The selected engineer will review the detailed requirements, evaluate representative video/test conditions, identify technical risks, recommend the detection/tracking architecture, and define measurable POC acceptance criteria. Upon successful completion of that milestone, the engagement may proceed into POC development. The initial POC will intentionally use a small controlled environment rather than attempt to build the complete commercial platform. Intellectual Property & Confidentiality AiChairWatch™ involves patent-pending technology. Detailed technical specifications and proprietary operating logic will be provided only to selected candidates after execution of a confidentiality agreement. Development work will be governed by written provisions addressing confidentiality, source code, work product, intellectual property, third-party/open-source components, and ownership/assignment of applicable development results. When Applying Please answer the following: Describe the most relevant computer-vision system you have personally designed or implemented. What experience do you have with multi-object/person tracking? How have you handled temporary occlusion, lost tracks, and re-identification? Have you processed live IP-camera/RTSP streams in a production or prototype environment? Please describe. Consider this simplified scenario: A camera observes several recreational chairs. A person occupies one chair, gets up, walks through the monitored area, is temporarily obscured by other people, and later leaves the area. At a high level, how would you maintain the person's association with the original chair and determine when that person has actually left the monitored area? What would you want to evaluate before selecting the computer-vision architecture for this POC? Please provide links to relevant GitHub repositories, demonstrations, publications, portfolio examples, or other technical work where available. Clearly identify which portions of the examples you personally designed or implemented. What is your availability during the next 60 days? Please provide your hourly rate and/or preferred structure for an initial paid technical-feasibility milestone. U.S.-based candidates preferred. AiChairWatch™ AI-Powered Recreational Seating Management Patent Pending

*US ONLY NO VPNs* I need help completing AI training tasks focused on the financial sector. You should be able to follow instructions carefully and communicate clearly in English. The task includes reviewing instructions, completing a quiz, and then completing tasks that involve writing, prompt folloiwng, and attention to detail. Each task takess about 1-2 hours. I will provide login access and detailed guidance for each task. If you are reliable, detail-oriented, and comfortable working on structured assignments, I’d like to hear from you.

I am seeking an experienced AI Developer with a strong background in instructional design and behavioral scaffolding to build a personalized, agentic study system for the Foreign Service Officer Test (FSOT). The study program needs to address the newly developed test format and draw on content sources outside the widely available FSOT study guides. The student should be guided to internalize the study material through myriad media platforms; puzzles, logic and word games, videos, text, historical and current events bring the information to life, solidifying the knowledge that can be used in multiple contexts – not just regurgitating memorized facts. In addition to the material presented as content, the program creator needs to be familiar with the differences in processing and communicating of individuals on the autism spectrum, and understand and anticipate behavior roadblocks that inhibit motivation and self-direction. The study plan needs to provide staggered daily tasks and activities, provide meaningful and achievable benchmarks, and status reports for both the student and the hirer. For the student, this study program should instill and reinforce behaviors that reach beyond the test prep. The program should enforce personal success factors such as documenting and monitoring tasks and checklists, managing short-term interval workflows, understanding dependencies of activities, and the ability to provide pertinent status reports. I want this position to start immediately and create, prepare and deliver a study program targeted to achieve success in 8-10 weeks.

We are a Managed IT Services Provider (MSP) serving small and mid-sized businesses (typically 10–100 employees) and have built our reputation on long-term client relationships and trusted technology advice. Our clients are increasingly asking us to help them adopt AI. We're looking for an experienced AI consultant to become an extension of our team and provide strategic guidance, solution design, and technical leadership. This is an ongoing partnership rather than a one-time project. What We're Looking For We are looking for someone who has successfully designed and implemented AI solutions for businesses and can confidently guide clients from initial discovery through implementation. You should be able to understand a client's business, identify where AI can provide meaningful value, recommend the appropriate technologies, build an implementation roadmap, and support our engineering team throughout the project. Our internal team will perform much of the implementation. We need someone who can provide the expertise, architecture, and strategic direction. Responsibilities You will work alongside our sales and engineering teams to: Join client discovery meetings Evaluate business processes and identify AI opportunities Recommend practical, ROI-focused AI solutions Help clients understand available AI technologies and select the right approach Design solution architecture Build implementation plans and project roadmaps Create scopes of work and technical requirements Assist with client presentations and proposal development Advise our engineers during implementation Provide ongoing consultation as projects evolve Required Technical Expertise You must have deep, hands-on experience with: Anthropic Claude (prompt engineering, Projects, MCP, API integrations, enterprise use cases, workflow design, and best practices) OpenAI / ChatGPT (GPT models, API usage, Assistants/Agents, function calling, enterprise deployments, and integrations) Microsoft 365 Copilot You should be the person our team turns to when deciding which model to use, how to architect a solution, and how to solve complex implementation challenges. Additional Experience Preferred Experience with several of the following is highly desirable: Microsoft Azure AI Google Gemini AI agents and autonomous workflows Retrieval-Augmented Generation (RAG) Model Context Protocol (MCP) Vector databases Knowledge management systems AI governance and security Business process automation Power Platform n8n Make Zapier CRM, ERP, and line-of-business integrations Custom AI application development The ideal consultant: Has led multiple successful AI implementations for businesses Understands both the technical and business sides of AI Can communicate effectively with executives as well as engineers Knows when AI is, and is not, the right solution Stays current with the rapidly changing AI landscape Can translate business problems into practical AI implementations Can implement lower cost solutions for smaller companies with limited budgets Typical Engagement A typical engagement might include: Meeting with a client's leadership team Understanding their workflows and business challenges Identifying the highest-value AI opportunities Recommending the appropriate technologies and architecture Estimating project effort and ROI Helping present recommendations to the client Supporting our engineering team during implementation Remaining available as a technical advisor as needed To Apply Please include: Your background designing and implementing AI solutions for businesses. A representative AI project you've personally led, including the technologies used and measurable business outcomes. Your experience with Claude and OpenAI, including APIs, enterprise deployments, and complex workflows. Your experience with MCP, AI agents, RAG, and business process automation. How you typically conduct an AI assessment for a new client. We're looking for a long-term strategic partner who can become the AI expert for our organization and help us deliver exceptional AI solutions to our clients.

I’m building an AI voice and automation company serving law firms and title companies. I need a reliable technical expert to help build scalable client systems using GoHighLevel, Retell AI, n8n, APIs, and webhooks. You should be comfortable with: AI voice-agent setup and testing GHL workflows, calendars, pipelines, and SMS Retell integrations n8n automations and API connections Troubleshooting and documenting repeatable systems Long term, it’s a major plus if you can help turn our systems into customer-facing software and eventually build and manage a technical team. This will begin as a paid project with the opportunity for a long-term role as the company grows. Please send examples of similar systems you’ve built, your availability, and your rate. Only apply if you are willing to build something amazing with me and you are an individual. I am not looking for firms/agencies to work with