AI Integration Projects

ChatGpt Sharepoint INtegration Has Failed Since Late Last Week

All of our ChatGpt Agents have gone down citing an error 400 connection to SharePoint. We have verified that the connection still works but Chat continues to state it cannot see all of the SharePoint locations it could previously. We need a Chatgpt integration Expert to trouble shoot and resolve please

Shopify Octane AI Quiz Builder – PC Recommendation Tool

We're looking for a Shopify expert experienced with Octane AI to build a Product Recommendation Quiz for our gaming PC store. About us: We sell hand-built gaming PCs across a wide range of budgets (£300–£2,000+), covering everything from entry-level 1080p builds to high-end 1440p/4K rigs with liquid cooling. Our range includes different chassis styles, CPU/GPU combinations, and use cases (pure gaming, streaming, work-and-play). What we need: A quiz built in Octane AI that asks customers a short series of questions — for example, budget range, which games they play (or want to play), desired resolution/frame rate, and whether they also stream or do other tasks on the PC — and then recommends the best-matching product(s) from our Shopify catalogue at the end. Scope of work: Set up and configure Octane AI on our existing Shopify store Design the quiz question flow and logic (we can provide our product spec list and target questions, or you can advise on best practice) Map quiz answers to our actual product catalogue so recommendations are accurate Style the quiz to match our brand (dark theme, red/black accents — we'll provide brand assets) Test the full flow end-to-end and hand over with basic documentation on how to edit questions/logic later Nice to have: experience integrating quiz results with email capture/Klaviyo flows, since we'd like to follow up with people who don't purchase immediately. Please share examples of similar recommendation quizzes you've built previously.

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CREATE AI MODEL TO SEARCH EBAY LISTINGS

NARROW DOWN SEARCH USING CONVENTIONAL FILTERS AND CRITERIA, THEN AI ANALYSES IMAGES ON LISTINGS FOR CERTAIN CRITERIA. PRODUCES SPREADSHEET. 24/7 OPERATION.

Design & implement a secure AI integrated system

I am seeking an experienced Microsoft 365, Power Platform and AI integration specialist to design and implement a secure Executive Operating System. The objective is to create one reliable system for managing: Strategic decisions and decisions required Actions and priorities Delegated actions and Waiting On items Topics, projects and workstreams Risks, opportunities and ideas Supporting documents and evidence Meeting, email, voice-note and transcript capture I want one authoritative master record with clear links between Decisions, Actions, Topics and supporting evidence. The finished system should allow me to: Capture information through ChatGPT, Microsoft Copilot, email, meetings, mobile input and 'Looki' voice-note integration Create and update actions using natural-language prompts View and complete daily actions through one practical interface Automatically update the authoritative record when actions are completed See decisions awaiting approval, priorities, overdue actions, Waiting Ons and implementation progress Access the system securely from desktop and mobile Avoid manually updating multiple systems My preferred environment is Microsoft 365, but I am open to the best justified architecture. The specialist should assess options including: SharePoint Lists Dataverse Power Apps Power Automate Microsoft To Do Planner Power BI Microsoft Graph Copilot Studio Secure ChatGPT API or custom integration Looki API integration Some existing Excel workbooks, Microsoft To Do lists, SharePoint assets, OneDrive folders and Power Automate flows already exist. These must be inventoried and preserved initially, but the final design does not have to retain the current architecture if a more reliable and maintainable solution is recommended. I want to wake up and ask my AI agent for a morning brief. I want it to be able to tell me what's on my calendar, what are my priorities and any actions due today. I want to be able to provide a single update on actions whether that's direct to the AI agent; or completing the action on 'TO-DO' or creating a voice note on LOOKI L1. I then want the single register updated accordingly so that the master source document knows the current status and is therefore reflected across all touchpoints (listed previously). I want to be able to leave a voice transcript with ideas and decision points and then this be added to a decision register with any applicable action items branched off this. I also want to future proof it so that we can add abilities on, in the future. I want my AI agent to be able to write and read specific documents in my onedrive which will act as the 'procedures' and framework for operating and decision making etc

Freelance AI / Computer Vision Engineer – Bedfordshire

Hello, We are looking for an experienced freelance AI / computer vision engineer to advise on and develop a local AI environment for thermal-camera pattern recognition. The work would involve: Defining the hardware, software and data requirements Setting up footage collection and storage Processing thermal-camera data in a meaningful way Identifying suitable AI or computer-vision methods Developing an initial proof of concept Integrating the solution with existing software We are looking for someone with experience delivering similar camera-analysis projects who can ideally demonstrate a relevant previous system or prototype. Some on-site work in Bedford will be required, with the remaining work completed remotely.

AI focused Backend Engineer

Senior AI-Focused Backend Engineer sought to design and build scalable, secure services powering AI applications. Responsibilities include developing APIs, integrating LLMs and AI services, implementing RAG pipelines with vector databases, managing prompt and model routing, creating async processing, and ensuring observability and reliability. Required: 5+ years backend experience, Python (FastAPI/Django/Flask), PostgreSQL, Redis, LLM APIs, embeddings, background jobs, cloud, Docker, CI/CD, testing, and strong technical communication.

Automation of a Accounting business using Claude code

I am currently exploring the development of a fully automated accountancy practice and am looking for an experienced developer or AI automation specialist to assist with the project. I have reviewed Claude Code and would like to use it as part of the development, together with prompt-based automation tools and integrations. I have already designed the proposed platform, workflows and overall functionality, and I am now trying to find the right person to help build and implement it. The aim is to automate as much of the accountancy business as possible, including client onboarding, document collection, workflow management, accounts and tax preparation, client approvals, communications and administrative tasks, while retaining appropriate human review and approval controls. Please let me know whether you have experience with Claude Code, AI agents, workflow automation or building platforms for accountancy or other professional service businesses. I would also be interested to understand whether you would be able to undertake a project of this nature. Please contact me if you are interested, and we can arrange a call to discuss the project and requirements in more detail. Kind regards, Jai Kainth

API Integration & CRM Automation Specialist Needed

API Integration & CRM Automation Specialist Needed (Long-Term Opportunity) We're looking for an experienced API Integration & CRM Automation Specialist to help streamline our business processes and build reliable automation workflows. Responsibilities - Integrate third-party APIs (REST APIs, webhooks, OAuth) - Set up and optimize CRM platforms (HubSpot, Salesforce, Zoho, Pipedrive, etc.) - Build automation workflows using tools like n8n, Make.com, or Zapier - Connect applications such as Google Workspace, Slack, Stripe, Airtable, Notion, OpenAI, and other SaaS platforms - Troubleshoot and maintain existing integrations - Create scalable, well-documented automation solutions Required Skills - Strong experience with REST APIs, JSON, webhooks, and authentication methods - Hands-on experience with at least one major CRM platform - Experience with automation tools (n8n preferred, Make.com or Zapier also acceptable) - Ability to understand business workflows and translate them into automated systems - Strong debugging and problem-solving skills - Good communication and fluent English Preferred - Experience with OpenAI or other AI APIs - Knowledge of JavaScript or Python - Experience with databases such as Airtable, Supabase, or PostgreSQL To Apply Please include: 1. Your top 3 API integration projects. 2. Which CRM platforms you've worked with. 3. Which automation tools you use most. 4. A brief explanation of the most complex workflow you've built. 5. Your hourly rate and availability. We're looking for someone who focuses on quality, reliability, and long-term collaboration—not someone who only connects apps using basic templates.

AI-Powered Customer Support Chatbot Development

I'm seeking a Software Engineering Intern or Junior AI Developer to assist in the development of an AI-powered customer support chatbot. The project focuses on building an intelligent conversational assistant capable of answering user questions, retrieving information from knowledge bases, and providing accurate responses through modern AI technologies. The chatbot will support web-based interactions and utilize Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques to improve response quality and contextual understanding.

Build a Secure Live AI Research Data Processing Prototype

Rapid Low-Code AI Document-Parsing Web Prototype (Secure Cloud Tenant) in Microsoft Copilot Studio / Azure OpenAI Project Overview: I need a highly concise, working prototype of a secure web application interface. The sole purpose of this app is to demonstrate a secure, live text-processing pipeline during a brief stakeholder review. It must ingest a raw text document/dataset, simulate a structured evaluation process against a pre-set compliance rubric, and dynamically display an optimization analytics page. Key Requirements to Implement: 1. Secure File Upload Interface A minimal, clean user interface with a file drop zone labeled: "Secure Sandbox: Upload Manuscript / Dataset Draft (PDF, DOCX, or CSV)". A secondary text field labeled: "Alternative Manual Input: Paste Methodology / Text Details". A dropdown parameter selector: [Parameter Group A / Baseline Metrics Checklist]. 2. Localized Governance Engine Setup Connect this frontend interface securely to an LLM endpoint (via Microsoft Copilot Studio, Azure OpenAI Studio template, or a standard private API pipeline). Define system prompts to parse the document's sections (checking for structural clarity, data mapping consistency, and alignment with baseline formatting rules). 3. Dynamic Output & Accountability Dashboard Upon document submission, the UI must refresh dynamically to show: Maturity / Verification Score: A clean progress gauge (e.g., Ecosystem Readiness Level: 84%). Compliance Rules Checklist: Visual indicators displaying: [Passed] Citation & Data Anonymization Check [Passed] Methodological Parameter Scope [Warning] Formatting Ambiguity Detected in Section 3 Actionable Next Steps: A generated text box detailing exactly what parameters need optimization. Technical Constraints: Must be deployed on a functional, live preview web URL so I can interact with it live during the meeting. Data privacy configuration must be explicitly set to ensure no data processed is utilized for public model training datasets. Important Fail-Safe: Hardcode a single specific fallback template path into the interface so that if the live internet connection fluctuates during the review, the target upload file will immediately trigger the exact correct completed dashboard layout cleanly.

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Connector between Claude and CRM from Dynamics Microsoft

Our company is seeking a software developer to build and finalise an integration connector for our Microsoft Dynamics 365 Sales (Dataverse) environment. The connector must let internal staff create business records using plain natural-language instructions in English or Spanish – for example, “create a quote for client X with 5 units of product Y” – and have the system translate that instruction into the correct Dynamics operations. A working prototype already exists (Python, plus a JavaScript data-access layer). The goal of this engagement is to harden the prototype into a reliable, maintainable, production-ready tool, validate it against our live environment, and document it for our team. This document describes the existing components, what works, what remains to be done, the required skills, and the deliverables. It is intended to give a candidate enough information to scope the effort and quote accurately.

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Looking for an Expert ChatGPT & Claude

I am looking for someone who can help me with the following: ✨ Setting up or migrating a Claude account ✨ Exploring possibilities to integrate Claude with my Instagram account ✨ Smart AI setup for content creation, workflows and working more efficiently A compensation of €100 is available for this assignment. Do you have experience with AI, automations and integrations between tools and social media, or do you know someone who does? Please send me a message or tag someone who might be a great fit.

Supabase Database Admin for Product Data

We are seeking an experienced Supabase specialist to support an existing project that manages structured product data. The role involves reviewing and understanding the current database architecture, updating records using newly provided datasets, improving data quality, and recommending database structure enhancements to better support frontend/UI functionality. The ideal candidate should be comfortable handling the full data workflow, including data cleaning, transformation, validation, and secure uploads into the existing Supabase environment. Strong documentation practices are important, as all work, changes, and validation steps should be tracked clearly through GitHub. This position also includes working closely with the project owner to identify opportunities for automating recurring data update processes and improving overall workflow efficiency. We are looking for someone who: • Has hands-on experience with Supabase and relational databases • Can work independently with minimal supervision • Maintains high attention to detail and data accuracy • Is capable of moving quickly while preserving data integrity • Understands structured validation and quality-control practices • Is comfortable documenting technical work and processes Data accuracy and validation are critical for this project, and all updates will be reviewed carefully throughout the engagement.

I need an urgent make.com scenario debugged.

Urgent Make.com scenario debugging required: my automation recently failed and needs immediate diagnosis and repair. Seek an experienced Make.com integrator to investigate scenario modules, traces and execution history, identify root cause(s), implement robust fixes, optimize error handling and suggest preventive measures. Deliver clear summary of findings, applied changes and recommendations for resilience. Timely completion and demonstrable troubleshooting expertise are essential.

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I want rebuild our compay website with AI

I want ai developer who can rebuild our company website as casual with ai If you are confident and have rich experience in this field, please apply on this job Thanks

Intergration PB WB

Project title: Pipedrive, QuickBooks and Mintsoft API automation for 3PL order workflow We are looking for an experienced API/automation developer to help build an order workflow between Pipedrive, QuickBooks Online and Mintsoft. Current systems: - Pipedrive is used by the customer’s sales team - QuickBooks Online is used for invoicing/accounts - Mintsoft is used by our 3PL business for order fulfilment, pick/pack and dispatch Required workflow: When a deal in Pipedrive is moved to a specific stage, for example “Ready for Fulfilment”, the automation should: 1. Pull the deal, organisation, contact and product line information from Pipedrive. 2. Validate that required order fields are complete. 3. Check/match customer and product/SKU data. 4. Create the fulfilment order in Mintsoft. 5. Create or prepare the invoice in QuickBooks Online. 6. Update the Pipedrive deal with the Mintsoft order number, QuickBooks invoice number and automation status. 7. Log errors clearly if required fields, SKUs, customer details or API calls fail. The solution can be built using Make.com, Zapier, n8n, Pipedream or a lightweight custom API/middleware, but we are looking for the most reliable and cost-effective option. Important: - Experience with Pipedrive API/webhooks is required. - Experience with QuickBooks Online API is required. - REST API and JSON experience is required. - Experience with Mintsoft API or warehouse/order management APIs would be a strong advantage. - We need proper testing and a simple handover document. Please respond with: 1. Similar integrations you have completed. 2. Your recommended approach. 3. Fixed price for phase 1. 4. Estimated timescale. 5. What access/information you would need from us.

Develop Microsoft Power Automate Flow + PDF & Excel integration

I am looking for a developer to write two Power Automate Flows to do the following When an email containing a purchase order arrives at an inbox, to examine the PDF attachment and extract the order number item code, description and quantity. This information is to be added to an excel spreadsheet table. I then need a macro on the Excel spreadsheet with a button, so that I can select the order number, then print the correct quantity of labels with the item and description. So the work comprises Developing PA flow to extract information from PDF and add to excel table Designing Excel macro to print labels off once items have been added to the table. I have Power Automate subscriptions and sharepoint folders etc. A sample purchase order is attached - all purchase orders will be of this format

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AI-Powered Price Scraper & Monitoring System (Multi-Website)

We are looking for an experienced developer to build a scalable AI-powered price scraping and monitoring system. The system should automatically extract product pricing data from multiple e-commerce websites and store it in a structured database for monitoring and analysis. The system must support multi-tenant architecture, role-based permissions, subscription tiers, and Stripe payment integration. The goal is to allow different companies to monitor product prices across multiple websites, with usage limits based on subscription plans. Project Scope 1. Target Websites • Scrape product prices from 7–10 e-commerce websites • Support dynamic content (JavaScript-rendered pages) • Proxy rotation & anti-bot handling • Scheduled scraping • Historical price tracking • Price change alerts (email or webhook) • Handle pagination and product variations 2. Multi-Tenant Architecture • Super Admin role • Manage all companies • Manage subscription plans • View system-wide usage • Suspend / activate companies 2. Data Extraction • Extract product name • Current price • Original price (if available) • SKU / Product ID • Availability status • Timestamp 3.1 Company Admin role • Manage company users • Set scraping targets (websites & products) • View company usage stats 3.2 Company Users • View price tracking dashboard • Access only assigned websites/products 3.3 Subscription & Usage Limits System must support different plan levels: Each plan should control: • Maximum number of websites • Maximum number of products • Scraping frequency (e.g., 1h / 3h / 6h / 24h) • Maximum concurrent scraping jobs • Historical data retention length Stripe Integration • Stripe subscription integration • Monthly / Yearly billing (7 days free trial) • Webhook handling for subscription status updates • Automatic feature unlock based on plan • Auto suspend account if payment fails • Admin ability to manually upgrade/downgrade plan 4. AI-Assisted Selector Detection • Use AI or intelligent selector logic to detect price elements • System should adapt if minor DOM changes occur • Minimize manual reconfiguration 5. Infrastructure • Proxy rotation support • Anti-bot handling • Headless browser support (e.g., Puppeteer / Playwright) • Scalable deployment (Docker preferred) 6. Database & Storage • Store data in MySQL • Historical price tracking • Ability to compare price changes 7. Monitoring & Automation • Scheduled scraping (e.g., every 1–6 hours) • Email or webhook alerts when price changes • Logging and error reporting 8. Dashboard • Admin and users dashboard • Search by product • View historical price chart Technical Requirements Preferred stack: • Laravel • Playwright / Puppeteer / Scrapy • REST API architecture • Docker deployment Deliverables • Fully working scraping system • Deployment guide • Source code • Documentation • 2 weeks post-delivery support Bonus Experience with anti-bot bypass, rotating residential proxies, and large-scale scraping is highly preferred. If interested, please include your portfolio and examples of similar scraping projects.

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Out‑of‑Hours WhatsApp Business Automation

Out-of-Hours WhatsApp Business Automation – Project Brief Project Overview I am seeking an experienced developer to integrate a WhatsApp Business automation system for my business. The purpose of this project is to design and implement the core framework and logic for handling WhatsApp enquiries out of hours (8:00pm–8:00am UK time), when messages are currently unmanaged. Due to the nature of the business, enquiries are often time-sensitive. If customers do not receive an immediate response, they frequently look elsewhere. The system must therefore acknowledge and guide enquiries instantly. This phase is focused on system architecture, integration, and scalability, not on finalising message wording or content. Project Objectives The system must: - Operate only between 8pm and 8am (UK time) But have ability to extend these hours for Bank Holidays etc - Instantly respond to incoming WhatsApp messages during those hours - Distinguish between new customers and existing customers - Use rules-based logic and structured conversational flows - Provide website links so customers can book services immediately - Allow seamless handover to a human when required Important Scope Clarification This is not an AI or GPT-style chatbot. The solution should be predictable, controlled, and fully rules-based. I will be adding and refining large amounts of information later, including FAQs, pricing guidance, and service descriptions. The system must support extensive pre-programmed content that can be easily expanded over time. Functional Requirements Operating Hours Logic: - Automation active only between 8:00pm and 8:00am - Outside of these hours, WhatsApp should revert to manual handling Customer Identification: The system must identify new customers and existing customers using a method proposed by the developer. Conversational Framework: - Modular conversation flows - Keyword or menu-based routing - Support for multiple pre-programmed response paths Booking & Website Integration: - Ability to insert booking and information links into automated replies Human Handover: - Automation must stop immediately once a human responds Data Capture & Logging: - WhatsApp number - Date and time - New vs existing customer flag Scope of This Phase Included: - WhatsApp Business API integration - Out-of-hours automation logic - New vs existing customer handling - Scalable conversational framework - Basic documentation Excluded: - Final message wording - Full FAQ or pricing setup - Advanced AI or NLP systems Technology Open to recommendations, but likely to involve WhatsApp Business API, a backend service, and basic data storage. What to Include in Your Proposal Please include relevant experience, recommended platform, approach, timelines, costs, and any ongoing fees.