AI Chatbot Development Projects

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Sophisticated React chatbot

I am seeking an experienced developer to enhance a sophisticated React chatbot utilizing a robust technical stack, including React 19, TypeScript, GSAP animations, and Tailwind CSS. The project entails content optimization, where messaging and branding across components will be refined. A thorough code review is essential to ensure adherence to best practices and a clean implementation. Additionally, performance checks must be conducted to optimize animations and API calls. Improving documentation, including the README and technical guides, is necessary, along with rigorous testing to validate seamless functionality. Candidates should possess strong React and TypeScript expertise, familiarity with GSAP, and proficiency in API integration and session management. Attention to detail and excellent technical writing skills are imperative for delivering a professional-grade application.

AI Chatbot Development

We are looking for someone to create an AI chatbot for us. The chatbot will need to learn the users language and way of thinking and then be able to speak back with the user in the way they do. Such as the way they deal with day to day life, emotions, negativity, happiness etc. Feel free to ask any questions

Adding chatting functionality

We are seeking a skilled developer to integrate a seamless real-time chatting feature into our tech education project, derived from the Tech-Books repository. This feature should facilitate both one-on-one and group conversations, with all messages stored in a database for future reference. The implementation must be clean, dependable, and easy to maintain, utilizing any contemporary backend framework and real-time technology such as WebSockets. This chat functionality aims to enhance educational discourse and foster collaboration among learners, creating an engaging learning environment.

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Looking for WhatsApp Bot Specialist (API + AI Integration)

We are looking for an experienced WhatsApp Chatbot Developer to work with us on automation, reply flow and backend integration. Ideal for freelancers/agency capable of delivering a stable, scalable solution. Project Scope – Develop WhatsApp chatbot with automated conversational flow – Integration with WhatsApp Business API / Cloud API – Auto-reply logic, keyword detection, quick replies – Broadcast messaging, message templates, multi-agent inbox support – Support multilingual responses (Traditional Chinese + English preferred) – Optional CRM/Google Sheet/eCommerce backend integration – Message analytics, session tracking, fail-safe handling Requirements – Familiar with WhatsApp Business API automation – Experience with no-code chatbot platforms or custom bot framework – Able to provide past project references or demo – Good communication and timely delivery – Can work on feature updates in phases Nice To Have – Experience with Twilio, WATI – Knowledge of AI-assisted reply system + training dataset setup – Ability to build scalable logic for customer service & sales funnel Please send 1. Portfolio / previous WhatsApp bot projects 2. Quotation (one-time setup + optional monthly maintenance) 3. Estimated timeline

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AI Chatbot Developer – Career Management Platform

Project Overview We are looking for a freelance AI Chatbot Developer to build and optimize a conversational AI assistant for our career management platform. The chatbot will help users explore career options, set goals, get personalized recommendations, and access coaching-style guidance. Scope of Work Develop an AI-powered chatbot using LLMs (OpenAI, Anthropic, etc.) tailored to career development workflows. Create dialog flows, prompts, and conversational logic that deliver personalized guidance and support. Integrate the chatbot into our existing web and/or mobile platform. Set up and fine-tune retrieval (RAG) using our content, resources, and user data (as allowed). Implement intent detection, context tracking, and user personalization features. Build internal tools for conversation review, testing, and iteration. Ensure all responses are accurate, safe, and aligned with career coaching best practices. Optimize model performance, latency, and cost. Provide documentation and optional post-launch support. Required Skills Proven experience developing AI or NLP-based chatbots, ideally using next-gen LLMs. Strong proficiency in Python, Node.js, or similar backend languages. Experience with RAG pipelines, vector databases (e.g., Pinecone, Weaviate, Chroma), and prompt engineering. Ability to translate career coaching frameworks into conversational experiences (or willingness to learn). Experience integrating AI systems into production apps (APIs, webhooks, front-end handoff). Good communication, documentation, and self-management—comfortable working independently. Nice-to-Have Background in career coaching, HR tech, edtech, or talent development. Experience with analytics and A/B testing for conversational AI. Knowledge of AI safety, bias mitigation, and user experience best practices.

Need a scheduling bot

I own several fast food shops and I want to automate the staff scheduling system using n8n. I want the bot to communicate with staff through telegram and then appoint them according to their availability.

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Automated Social DM System (Similar to SocialToast.ai)

We are looking for a developer to build and set up a system similar to SocialToast.ai that automates DM conversations on Instagram and Facebook in order to increase conversions from social traffic & ads. Build and manage an AI chat system that converts our social, website, and ad traffic into sales automatically. An AI Chat System built on Instagram, TikTok and Facebook, that starts 100s of DMs daily with everyone who engages with our socials, website or paid ads and follows up automatically until they buy. Instant, personal follow-up. About Us • Independent live events business (Strictly Come Dancing Weekends) • 60,000 website pageviews per month • 12,000 Facebook followers • 4,500 Instagram followers • Spend approx. £2,000/month on Meta ads (mostly IG/FB in the UK) • No WhatsApp account currently in use • Already using AI Chatter chatbot on website: https://my.aichatter.co.uk/ We want to automate DM inbox conversations so that users clicking on ads, stories, reels or bio links are funnelled into automated personalised DM conversations The bot can: o Capture leads (email, name, event interest, etc.) o Answer common questions about events, pricing, locations o Send follow-ups & reminders o Escalate to a human when needed We need the system to be compliant with Meta messaging policies • Ability to run multiple DM flows (e.g., event info, early bird launch, competitions, etc.) • Ability to track performance: clicks, conversations, conversions, drop-offs • Admin dashboard/dashboard access preferred Tech Notes / Expectations • We are aware that this could be powered by an existing tool (e.g. ManyChat) • We are open to your recommendation: full custom or based on a SaaS • Must work with Instagram + Facebook • Must be able to trigger from ads • Should support future WhatsApp integration (optional, not required immediately) What to Include in Your Proposal 1. Your recommended approach (platform vs custom build) 2. Cost breakdown (setup + monthly ongoing if relevant) 3. Experience building Meta DM automation 4. Example workflows or portfolio if available 5. Estimated timeline 6. Any limitations we should be aware of Budget We are looking for cost-effective options.

Chatbot Developer - UK or English speaking countries only!

Hello, We are having to advertise this job again as the freelancers we spoke to were not from the UK or Ireland (which was a requirement due to complex computer language) but were from Asia and Africa. Nothing against these people, and I am sure that they are great at what they do, but we are at a stage now where clear English language is essential. So here goes: We are seeking an AI Data Engineer (based in the UK or Ireland) to assist with fine-tuning/testing prompts a new legal chatbot. The ideal candidate will have experience in AI data engineering and be skilled in optimizing and refining AI prompts to enhance system performance. The chatbot has been built using Claude (API), Render, Vercel, Pinecone (RAG) and Github. Deliverables Help implementing a conversational style chatbot Creating a backend dashboard to enable us to test prompts and backend functions (currently using React) Fine-tune AI prompts for improved performance Optimize AI systems for better response accuracy Must be based in UK/Ireland and speak fluent English

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Phased AI Chatbot Development: Self-Hosted RAG System

Project: We seek an experienced AI/ML developer to build a self-hosted AI chatbot system utilizing Retrieval-Augmented Generation (RAG) for our health related course Website. We have a wiki, over 1,200 articles, a 70k Youtube channel, podcast, lots of content. End goal is to have everything relevant RAG-ed for LLM use. We plan for users to have access to two tiers of LLM to answer their question: Free Tier: Intelligent FAQ using public content, guiding users to resources. Paid Tier: Expert-level assistant with secure access to proprietary support databases and premium materials. **** This project is structured in paid, progressive milestones, beginning with a full prototype. We're looking for a long-term development partner. ****** Milestone 1: End-to-End RAG Chatbot Prototype (Pilot Phase) Objective: Deliver a complete, functional RAG chatbot prototype. This milestone will serve as an immediate proof-of-concept, demonstrating core RAG pipeline functionality, response quality, and technical execution in a self-hosted environment. Scope of Work: Ingest and process a small sample of public website content provided. Implement text chunking and generate embeddings using a local embedding model. Store data in a local vector database (e.g., ChromaDB, FAISS). Set up local LLM serving (e.g., Ollama) with open-source models (e.g., Mistral, Gemma). Develop Python script: Query -> Retrieve Context -> Prompt LLM -> Generate Response. Implement a simple Command-Line Interface (CLI) for interaction. Deliverables for Milestone 1: A fully functional Python script demonstrating the RAG process. The populated local vector database files. Clear setup instructions for local LLM serving and running the script. A brief README explaining models and prototype functionality. A demonstration of the chatbot responding to example queries. Milestone 1 Budget: We have allocated $800 - $1800 USD for this pilot milestone. Please quote your price for this specific scope. Evaluation Criteria: Functionality, AI response quality/relevance, code clarity & documentation, technical competence in local LLM/DB setup, communication. Full Project Vision & Long-Term Income Potential: Successful Milestone 1 completion leads to an invitation for subsequent phases, building the complete system. The estimated total development budget for the entire project is $7,000 - $20,000+ USD. Future milestones will involve: scaling data ingestion (public & proprietary), building a web UI, implementing secure paid-tier logic, and production deployment. This offers a significant opportunity for a stable, long-term engagement. Preferred Technology Approach: Python, LangChain/LlamaIndex, Ollama for local LLM serving, and local vector databases like ChromaDB/FAISS. Experience with FastAPI/Flask for backend APIs and Streamlit for UIs is a plus. We value documented expertise in open-source LLMs and RAG principles. We are open to well-reasoned alternative technologies that align with our self-hosted, cost-effective, performant goals. How to Apply: Please submit your proposal including: Your quote for Milestone 1. A brief outline (max 500 words) of your strategy for the full project's future milestones. Your relevant experience with RAG systems, self-hosted LLMs, Python, and related frameworks. Links to your portfolio or examples of similar AI development projects.

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I need to intergrate AI into our ecommerce business

We seek a proficient contractor to integrate artificial intelligence into our e-commerce platform, brooksuspension.co.uk. This project entails developing an intelligent system to manage and respond to frequent customer inquiries via WhatsApp, accessible through a plugin on our website. Our objective is to elevate customer support by addressing common questions, lead times, and offering technical assistance, thereby reducing the burden on our staff. The ideal candidate will analyze existing communications to identify prevalent queries, proposing AI solutions that minimize human intervention while maintaining customer satisfaction. Additionally, we desire a system that prompts staff when human intervention is necessary.

I would like to create a WhatsApp agent

I would like to create a WhatsApp agent to handle customer queries - Handle questions - Book customer in for a video survey

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PROPERTY RENTAL AND SALES BACKEND WITH WHATSAPP CHATBOT FRONTEND

I NEED A DEVELOPER TO BUILD A COMBINED PROPERTY AGENT FOR SHORT TERM (AIRBNB OR HOTEL) AND FOR PROPERTY SALES TO CUSTOMERS. THE SYSTEM WILL HAVE A WHATSAPP CHATBOT WHERE USERS CAN SEND IN RENTAL REQUEST AND THE CHATBOT CAN ENGAGE THE USER WHILST THE AI WILL FIND AND DISPLAY AVAILABLE PROPERTIES, INCLUDING THEIR PRICES. ALL TRANSACTIONS WILL BE VIA WHATSAPP INCLUDING PAYMENTS.

AI Tier-1 Customer Service Agent

AI Tier-1 Customer Service Agent – FreeScout + WordPress/WooCommerce + OTT + Airwallex + BTCPay Description We are an IPTV/OTT provider looking for an expert to build a fully automated Tier-1 AI customer service agent. Our business model is very simple, and we already have defined workflows for all customer interactions. The challenge is volume: we receive a high number of enquiries by chat and email, and need AI to take over frontline support. Customers contact us via: Chatbot on our WordPress/WooCommerce website Email, which creates tickets in FreeScout The AI must automatically handle both entry points, applying our existing workflows and replying directly to customers. Requirements FreeScout Integration – AI reads new tickets/replies, responds automatically, escalates only if blocked. WordPress/WooCommerce Integration – AI pulls order data, subscriptions, and order/user meta (app usernames, passwords, plan type, device IDs, etc.). OTT Platform Integration – AI checks subscription status (active/pending), triggers provisioning, and supplies credentials (username/password or reset/activation link). Payment Checks – Airwallex: explain failed card payments (declined, blocked, insufficient funds, etc.) BTCPay: confirm invoice status (confirmed, expired, underpaid) Knowledge Base – AI provides simple FAQs, installation steps, and troubleshooting guides. Deliverables Importable n8n workflows covering chat + FreeScout. README + .env template for setup. Test script covering all standard workflows. Short handover video (≤10 minutes). Acceptance Criteria Active subscription → AI replies with credentials. Pending subscription → AI checks payment and explains status. Not provisioned → AI triggers provisioning and confirms. Lost credentials → AI supplies reset/activation link. Failed card/BTC → AI gives specific failure reason. App install/setup → AI provides step-by-step guide. Blocked workflow → AI escalates with internal note. Budget & Timeline £1,000 (fixed price). Delivery in 2–3 weeks. Option for ongoing support. Screening Questions Have you built AI auto-responders for FreeScout or similar helpdesks? How would you integrate Airwallex and BTCPay into n8n? How would you securely deliver OTT credentials? Show an example of a tool schema you’ve exposed to an AI agent. How do you prevent workflow loops/retries in n8n?

Python back end development project

We are looking for a developer for getheron.co.

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Chatbot creation for the general public for legal Q&A

I am looking quotes for the creation of a Bubble.io interface or front end (or similar). I have the backend sorted using the Claude API. I have my trained data using GitHib, Pinecone (for RAG) and Render. I now need to see the chatbot in action with a frontend and be able to test and fine tune the model. This chatbot will be available to the public to help them with legal issues for a fee. Please only respond if you can show me examples of your work and can speak fluent English. Thanks

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Conversational AI / Prompt Engineer (Tone + Backend Integration)

About the project I’m building a personal guidance tool that combines structured data inputs with everyday, coaching-style answers. The technical foundation is already built: backend integration, UI, and API calls are in place. Now I need a specialist to shape the conversational layer — so the AI responses feel warm, empathetic, and practical, instead of generic or technical. What I need help with 1. Designing system and user prompts that generate clear, supportive, multi-paragraph answers in plain English. 2. Creating a tone/style guide so the responses feel like a real conversation, not generic advice. 3. Implementing and testing these prompts directly in the backend (OpenAI + prompt builder already integrated). 4. Ensuring changes don’t break the baseline setup, and documenting how to maintain it. What I’m looking for 1. Strong experience with conversational AI / prompt engineering. 2. Comfortable working hands-on in an existing codebase (not just providing text). 3. Background in coaching, psychology, or UX writing is a plus (to get the right tone). 4. Clear communication and ability to iterate quickly. If successful, potential for ongoing collaboration.