AI Chatbot Development Projects

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AI Outlook Email responder

Develop an AI-powered Outlook email responder for a busy WooCommerce WordPress site. Leverage four years of archived email replies plus website guides and manuals to build a consolidated knowledge base. Create a system to auto-draft context-aware responses using that knowledge, with options for human review and editing. Optionally design integration with an AI chatbot to deflect routine queries and reduce incoming emails, improving response speed and consistency. Budget is flexible dependent on what can be offered and advised.

Ai what app sales agent

We seek a skilled developer to create an AI-driven WhatsApp sales and inquiries bot tailored for our estate agency. The bot must efficiently manage incoming sales inquiries, providing instant responses to both buyers and sellers. It should qualify leads, gather essential information, address frequently asked questions, and facilitate the booking of valuations or call-backs. Additionally, it must possess the capability to escalate serious inquiries to a human agent. This project aims to enhance customer interaction and streamline our sales process through advanced automation.

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Interactive AI Experience – 3D Guide & Custom Image Gen

I am an artist developing a browser-based interactive ritual experience where a 3D speaking character guides participants through a reflective AI-driven dialogue about the future. At the end of the interaction, the system produces: • A symbolic, poetic spoken response • One AI-generated image based on the participant’s clarified vision, rendered in a custom visual style trained on my artwork This is a poetic, immersive digital art experience, not a generic chatbot or commercial tool. Deliverable: A mini website / web module that can be integrated into an existing website (for example, as a subpage or subdirectory). Scope Clarification The generated images will later be shown in a separate digital “wall” project built by another team. This job does NOT include building that wall interface. Your responsibility is to: ✔ Generate the images ✔ Store them with structured metadata ✔ Make them exportable for future integration Technical Constraints (Non-Negotiable) - • Open-source / open-weight AI models only (LLM, image generation, TTS, STT) • Self-hosted deployment on my infrastructure (Hetzner servers) • No proprietary AI APIs Core User Experience Flow - - Short conceptual intro animation - 3D character appears and speaks, introducing the ritual - User selects one of five thematic prompts - User shares a vision (text input; voice input optional bonus) - AI-guided dialogue (2–4 turns) to clarify the scenario - Final symbolic spoken response from the character - One AI-generated image created from the clarified vision - Session data saved for archive and future visual display Technical Requirements - Frontend (Mini Website) • Immersive but lightweight interface • Smooth transitions between stages • Audio playback (music + character voice) • Responsive design (desktop + mobile) • Built using React / Next.js or similar 3D Speaking Character - • WebGL / Three.js / A-Frame (or similar) • Rigged character model (provided) • Idle animation • Speaking animation synced to audio (lip sync preferred, amplitude-based acceptable for MVP) AI Dialogue System (Open-Source LLM) - • Self-hosted open-weight model • Multi-turn conversation handling • Structured prompting system • Outputs: – follow-up prompts – final poetic response – structured summary for image generation Voice System (Open-Source TTS) - • Open-source text-to-speech hosted on server • Audio drives speaking animation Custom Style Image Generation - The generated image must consistently match a custom artistic visual language based on my artwork. Prompting alone is not enough. You must implement: Preferred: LoRA training using my artwork dataset Alternative: Style adapter / reference conditioning Requirements: • One image per session • Seed reproducibility • Style strength control • Save prompt + generation parameters Backend & Storage Store for each session: • Selected prompt theme • Dialogue transcript • Final spoken response • Scenario summary • Image prompt + parameters • Generated image file • Timestamp Admin Panel Simple password-protected page to: • View sessions • Download text and images Deployment Requirements • Linux deployment on Hetzner • Docker / Docker Compose preferred • Documentation for: – setup – model downloads – environment variables – running services – updating style model Project Timeline Total duration: 2 months Skills Required • Web 3D (Three.js / A-Frame / WebGL) • Experience integrating animated 3D characters in the browser • Experience serving open-source LLMs • Diffusion model LoRA or adapter training • Backend/API development • Docker + Linux deployment How to Apply Please include: 2–3 relevant projects (AI apps, WebGL/WebXR, or interactive experiences) Proposed tech stack (frontend, backend, model serving) Which open models you would use (LLM, diffusion, TTS) and why Recommended server setup (GPU/VRAM) for acceptable performance Screening Questions How would you sync speech audio to a 3D character animation in the browser? Which open-weight LLM would you deploy and how would you serve it? How would you train and deploy a custom style LoRA for image generation? What server setup would you recommend and why?

Experienced pro for GHL flow builder conversational AI

We are seeking an up-to-date, highly experienced HighLevel (GHL) Expert to design and implement a sophisticated Conversational AI system using the GHL Flow Builder. The goal is to build an "AI Employee" capable of managing multi-channel conversations (SMS, GMB, Facebook, Instagram) to qualify leads and book appointments autonomously. You must be deeply familiar with the latest 2025/2026 GHL AI updates, including AI Actions and advanced logic branching. KEY RESPONSIBILITIES & SKILLS REQUIRED The ideal candidate must demonstrate mastery in the following: GHL Flow Builder Mastery: Building complex, non-linear conversational paths using the latest Flow Builder interface. AI Actions Implementation: Expert use of AI Capture Information for custom fields, AI Splitter (for intent-based branching), and AI Booking actions. Prompt Engineering: Tuning the bot’s "Conversation AI" settings and individual workflow prompts to match the brand voice of our clients. Multi-Calendar Routing: Setting up AI-driven scheduling that routes leads to specific calendars based on intent (e.g., Discovery Call vs. Event Booking). Hybrid Logic: Integrating standard Workflow triggers with AI actions for seamless Human Handover when the bot detects a specific intent or sentiment. Knowledge Base Training: Training the bot using the GHL Web Crawler or specific document uploads to ensure accurate FAQ handling. MUST READ BEFORE YOU APPLY Applications will be strictly reviewed. Do not apply unless you meet ALL of the following: NO AI PROPOSALS: All responses must be written by you. If we suspect an AI-generated pitch, your application will be discarded immediately. EXISTING REVIEWS REQUIRED: Your PeoplePerHour profile must include verified reviews relating to AI agents. RELEVANT EXPERIENCE: Your work history must specifically show HighLevel (GHL) automation, workflow building, or AI bot deployment. VERIFIED LOCATION: You must be honest about where you are based, and your profile location must be correct. Your location may be verified if your geotag and stated location do not match. PLEASE ANSWER ALL SCREENING QUESTIONS.

Automation

We are seeking a skilled freelancer to assist in the design and automation of electrical components for an innovative project. The ideal candidate will possess a strong background in electrical engineering and experience in automating processes to enhance efficiency and functionality. Responsibilities will include creating detailed schematics, selecting appropriate materials, and implementing automation systems that integrate seamlessly with existing components. A keen eye for detail and the ability to troubleshoot complex issues is essential. Join us in revolutionizing our approach to electrical design and automation.

I need an AI basedchat bot

Hi , I need an AI powered chatbot. So I have some set of questions. Some use-cases like product Enquiry Or Product Repair or Product Installation or New Project So Is it possible to develop a chat bot that can interact with user. Q. I need a new laptop? A. In the response , bot should not show the laptops directly . it should ask the questions What type of laptop you are looking for? 1. Normal laptop 2. business laptop 3. Gaming laptop then user will say I need Gaming laptop so It will ask further questions. So after asking questions, bot will show some final products. What will be your possible price to do such kind of work?

Custom coded ai chatbot for website

Hello my company is nidripcentralelectronics.co.uk I need help with creating a custom coded chat bot that ca be used via website and mobile application I need it to handle customer querys And support questions. I want to be able to reply and respond respond customer if the bot can't handle it My only problem is company is behind on budget and can't pay right now if you somebody can help fix this and need it for a deadline I'll leave my discord below https://discord.gg/raSM8n3U

Backend Developer Needed (Chatwoot + AI Integration)

Job Description I’m building Shipzo AI, a 24/7 AI-assisted response system for businesses in Mauritius (WhatsApp, Facebook, Instagram, TikTok). This is a backend-only, short-term contract. Frontend, design, and UI work are NOT required. We are using Chatwoot (self-hosted) as the inbox infrastructure and building a separate AI middleware on top of it. --- Scope of Work (VERY CLEAR) You will be responsible for: Integrating Chatwoot webhooks (incoming messages) Fetching conversation context from Chatwoot Sending message context to an AI API Returning AI-generated reply suggestions (NOT auto-send) Ensuring human approval flow (v1 – no automation) Clean, documented backend code No frontend. No UI. No mobile apps. --- Tech Stack (Flexible) You may use: Node.js or Python or Ruby (Rails) As long as: Code is clean APIs are well structured Easy to extend later --- What This Is NOT ❌ Not a chatbot flow builder ❌ Not full automation ❌ Not long-term employment ❌ Not agency work --- Timeline & Budget Timeline: 7–10 days Budget: Fixed, capped at $400 to 600 Payment: Milestone-based --- Ideal Developer Profile Strong backend experience (APIs, webhooks) Familiar with SaaS-style systems Experience with Chatwoot or similar inbox platforms is a big plus Can read and follow a written technical spec Communicates clearly --- REQUIRED TO APPLY (IMPORTANT) Please answer ALL of the following: 1. Have you worked with Chatwoot or similar messaging/inbox systems? 2. Which backend stack would you use for this and why? 3. How would you implement AI replies without auto-sending messages? 4. Can you deliver this in 7–10 days within the stated budget? Applications without answers will be ignored. --- Final Note This is a foundational system that will be extended later. We are looking for one serious backend engineer, not many freelancers.

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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.