AI bot Developer Needed

@ambar

Hi, I have built AI customer workflows for real businesses before. Mysuru Zoo is one example, using WhatsApp for customer bookings. I also built similar customer workflows for Anna Zoological Park. These were live business workflows, not chatbot demos for display. They connected conversations with real actions and customer records. I have also worked directly with OpenAI and Gemini API integrations. Your biggest risk is not the model, but confident wrong answers. I would add a confidence gate before the bot answers important questions. Low-confidence queries would follow a controlled fallback route. That gives you a measurable way to protect answer quality clearly. I would keep business rules separate from the conversation engine. That lets the same bot serve different channels without rebuilding it. I would also make knowledge updates possible without code changes. That gives your team control as products and policies keep changing. I would first map your real customer questions and knowledge sources. That gives us a useful test set before choosing the final model.

@OutsourceMan

Yes, at CnEl India, we can build your custom, production-ready AI conversational bot from discovery to cloud deployment with full code and model weight ownership transfer. Our Technical Execution Methodology Discovery & Architecture Scoping: We analyze your business requirements to define system boundaries, prompt guidelines, and select the optimal model stack (OpenAI API fine-tuning/RAG vs. open-source LLMs/Rasa) balancing cost, latency, and privacy. Conversational Engine & Retrieval Pipeline: Build a dynamic dialogue engine with contextual memory, robust fallback logic, and a vector database (Pinecone/Chroma) retrieval pipeline to ensure accurate, context-aware answers with sub-1.5s response latency. Admin Dashboard & API / SDK Integration: Construct a lightweight React-based admin panel for updating knowledge sources, tweaking intents/responses, and tracking usage analytics, paired with REST/WebSocket APIs for seamless frontend integration. Testing & QA Auditing: Comprehensive UAT testing against target prompts to guarantee >90% accuracy before deployment. Deployment & Handover: Complete transfer of source code, environment setups, model weights, and setup documentation to your team. We are ready to start immediately! Best regards, CnEl India Team

@onkarkulkarni8

Hi, I can help you with "AI bot Developer Needed" as per your given project description. We can discuss more in detail during a chat conversation when you are available. I've worked on many PHP projects in recent times. So I am confident on achieving your expected Goals. Please initiate a communication thread to discuss further and start with the project. ⭐ 5.0/5 from a recent client: "A more professional version: “Excellent work! The job was completed within the committed timeline. Great quality, professionalism, and timely delivery. Highly appreciated and recommended.”" Final timeline and cost will be confirmed in chat after a complete understanding and documentation of the project expectations in detail.

@InterconnectBPO

Hi, I can build the conversational AI bot from the ground up, including discovery, model selection, dialogue logic, fallback handling, analytics, API integration, and a lightweight admin dashboard. I’ll focus on production readiness, response accuracy, low latency, scalability, and clean documentation. The architecture can be designed to support website, mobile, or social channels without rebuilding the core bot. I can also provide full source code, deployment guidance, environment configuration, and a clear handover. We can start with discovery and an MVP, then validate the 90% accuracy and sub-1.5s response targets before final delivery. Regards Interconnect BPO

@vishal1145

Your 90% accuracy target will fail if you rely on a generic GPT wrapper without domain-specific fine-tuning and intent classification layered on top. Most chatbot projects collapse because they skip the fallback architecture that handles edge cases when the LLM hallucinates or goes off-script. Quick questions - are you planning to feed proprietary knowledge into this bot that requires RAG or vector embeddings? And what's your monthly message volume so we can right-size the infrastructure without overspending on API calls? Here is the architectural approach: - NLP & AI DEVELOPMENT: Build hybrid intent classifier using Rasa NLU for structured flows plus OpenAI for open-ended queries, ensuring fallback logic triggers when confidence drops below threshold. - API DEVELOPMENT: Design RESTful conversation API with webhook support for multi-channel deployment, rate limiting, and session management to maintain context across messages. - SOFTWARE ARCHITECTURE: Implement admin dashboard in Node.js with real-time analytics, intent editor, and A/B testing framework so you can iterate responses without redeploying the core engine. I've built 4 production chatbots that handle 200K+ monthly conversations across fintech and healthcare with sub-second latency. Let's schedule a 20-minute scoping call to lock down your knowledge domain and deployment timeline before we formalize the build.

@pinkeegupta

Hi I will be able to help you. Please message me so that we will have detail technical discussion. I have 9+ years of combined experience in Mobile Application development, Website development, Desktop application development, 3rd party Artificial Intelligence api, AR/ VR, Chatbot, Blockchain- Cryptocurrency, CRM & ERP, Game Development and any other Software development. Please consider me and initiate a chat for further detailed discussion. Regards, Anju Logical Soft Tech Pvt Ltd, Indore(M.P)

@mubeenm5026

As an AI and SaaS development expert with a successful track record in crafting intelligent conversational engines, I believe my team at Web Crest has the skills and industry experience to bring your automated bot vision to life. Our portfolio demonstrates our ability to adapt and integrate using a variety of tools including OpenAI, Rasa, TensorFlow, just to mention a few - giving you clear explanations of the trade-offs. We are also adept with API Development, Node.js, PHP and Software Architecture which is crucial for this project. One of our key strengths is our business-focused approach. Before any line of code is written, we take time to understand your business model and unique needs to ensure we build a personality-rich and context-aware bot that captures your brand perfectly. In line with your project scope, we will provide you with a clean API or SDK that can be easily dropped into your chosen frontend - be it on websites, mobile or social media. For us, the completion of any project marks the beginning of our commitment to long-term technical support. We assure you full ownership of code, data and model weights once the job is completed alongside documentation to support continued function even in your hands. Choose Web Crest not just for someone familiar with chatbot development but a partner that guarantees you fully-scalable, well-maintained, secure and high-performing solutions for now and in future.

@sdqtrades

As an AI enthusiast who lives and breathes automation, I am extremely qualified to meet your project's needs. With a proven track record in sophisticated web scraping, smart data extraction, OCR pipelines, and AI-powered chatbot solutions, my forte lies in crafting intelligent and context-aware conversational engines like the one you're seeking. Whether it's integrating with websites, mobile apps, or social channels -- consider it done. I uniquely bring a deep knowledge of a wide range of AI frameworks including OpenAI, Rasa, TensorFlow and with that comes the expertise of making reasoned model selection or fine-tuning decisions while carefully explaining trade-offs. I have also developed sound fallback logic and implemented analytics hooks for informed decision making in similar projects. In addition to my technical skills, I strongly believe in the importance of clear communication, especially in cross-functional undertakings such as these. You can trust me to deliver regular and comprehensive updates on the development progress. Lastly, but decidedly not least, I'm ready to hit the ground running as soon as we finalize the scope - saving you time and money while ensuring your bot is stitched together beautifully for all its intended purposes. Thank you for considering me for this exciting project. I'm eager to lend my expertise to your vision and bring it to life through a powerful AI-bot implementation that will exceed both your and your users' expectations!

@Hrolgar

I'd start by building this on the OpenAI API with function-calling rather than training a model from scratch in Rasa or TensorFlow. That route eats most of a 21-day budget on infrastructure before a single conversation gets tested, and it doesn't get you any closer to 90% accuracy or sub-1.5s latency. A well-designed function-calling layer over a hosted model clears both bars faster and leaves the time for what actually sets this apart: context handling, the admin tooling, and the analytics. The dialogue engine needs three things working together so it stays context-aware without ever breaking down in front of a user: a conversation state store that persists across turns, a routing layer deciding when to call a function versus reply directly, and a fallback path so a malformed call or a timeout never surfaces as a raw error. I'd build the REST API and SDK on that same contract from day one, so wiring in web, mobile or whichever social channel you land on later is a config change, not a rewrite. M1: Architecture, intent schema, staging environment, INR 42500, 4 days M2: Core dialogue engine, context state and function-calling, INR 55000, 6 days M3: REST API and SDK for channel embedding, INR 55000, 6 days M4: Admin panel for intents, responses and analytics, INR 35000, 3 days M5: Accuracy and latency tuning against the 90%/1.5s bar, plus handoff docs, INR 25000, 2 days Have you already picked which channel launches first, or is that still open? And is the 90% accuracy figure measured against a labelled test set you have, or one I'd need to help build?

@mayankinnovative

Hi, As per my understanding: There's a tension worth resolving before development starts, full ownership of model weights only makes sense if we fine-tune an open-weight model, since hosted APIs like OpenAI never hand over weights regardless of usage. That decision shapes the whole stack, so it belongs in discovery, not after building. Implementation approach: I'd build the dialogue engine behind its own abstraction layer, separate from whichever model powers it, so swapping providers later doesn't touch business logic, fallback rules, or analytics sitting on top. Intents, responses, and knowledge boundaries would live in a database the admin panel reads and writes directly, so updates need no redeploy. Every response gets logged with a confidence score so the 90 percent accuracy target is measurable during UAT rather than judged by feel, and latency stays under 1.5 seconds by keeping context windows lean and avoiding chained calls where one suffices. A few quick questions: Is full model-weight ownership a hard requirement, since that points toward an open-weight model over a hosted API? Which channel should launch first, website, mobile, or social? Do you have existing FAQ or support content to seed the knowledge base?

@TechizeBuilder

Dear Client, I read "AI bot Developer Needed" carefully and understand you are looking for a full-stack developer who can handle both application development and AI integration. I have experience with PHP, JavaScript, Node.js, API Development and can work across the complete stack — frontend, backend, APIs, databases, authentication, third-party integrations and AI features. I can build scalable applications using modern technologies while keeping the codebase maintainable and production-ready. A few quick questions: Which AI models/APIs are you currently planning to use? Is there an existing application/codebase, or will the project be built from scratch? Thanks & Regards, Deepak

@shayankhan333

Hitting 90% accuracy and sub 1.5s latency usually comes down to how you structure retrieval, not the model choice itself. A RAG setup with your own knowledge base beats fine-tuning for most business bots, cheaper to update and easier to audit when answers drift. I'll scope the intents with you, build the dialogue engine with fallback and analytics, ship a REST endpoint plus a small admin panel for intents and usage. I can start right away. 1) What knowledge source feeds the bot, docs, a site, a database? 2) Which channel is priority one, web widget, WhatsApp, or in-app? Let's get this moving. Shayan

@santoshkumars17

As an experienced Full Stack Web and Mobile App Developer with a keen interest in AI, I am well-positioned to bring your project to life. Throughout my 5 years in the industry, I have consistently delivered scalable, high-quality applications that meet client's unique needs - just like what you're looking for. I offer a diverse range of skills crucial for your project, including advanced proficiency in JavaScript, Node.js, PHP, and API development. These competencies align perfectly with the scope of work required for crafting an intelligent chatbot with delightful user experience. My expertise in model selection and fine-tuning (OpenAI, Rasa, TensorFlow) will also help us make informed decisions while balancing performance and context-awareness. In addition to technical capabilities, my collaborative approach is what sets me apart. I am committed to not just building your application but enabling you to maintain it without hiccups. That's why I will ensure smooth hand-off of all source files, environment variables, and comprehensive documentation. With a promise of clean code that's optimized for performance and maintainability and an unwavering commitment to on-time delivery with insightful communication; partnering with me is the best way to ensure we transform your vision into reality. Let's get started today!

@KarthikTechCon

Hello, I’m Karthik, a seasoned developer with 15+ years of experience in AI and chatbot development. I am excited about your project and can deliver a custom, production-ready AI bot tailored to your needs. My approach includes: 1. Discovery & Scoping: Collaborate to define the bot’s personality, capabilities, and tech stack. 2. Model Selection: Expert guidance on choosing or fine-tuning models (OpenAI, Rasa, TensorFlow), considering trade-offs. 3. Dialogue Flow Development: Create robust conversation flows with fallback logic and integrate analytics. 4. API/SDK Development: Ensure seamless integration with your chosen front-end and channels. 5. Admin Interface: Develop an intuitive interface for easy updates to intents and responses. 6. Deployment Support: Comprehensive walk-through and delivery of all source files, documentation, and environment setups. I guarantee a bot that meets your acceptance criteria, with at least 90% accuracy and response latency under 1.5 seconds. Let’s finalize the scope and get started! Looking forward to your response. Best, Karthik

@mahads31

With years of experience in transformative AI-driven projects, I can power your chatbot vision from inception to delivery. My proficiency in technologies such as JavaScript, Node.js, PHP, and my exceptional command over AI Development aligns perfectly with your project needs. What sets me apart is a thorough discovery and scoping session where we'll outline every requisite detail about your bot's personality and operational boundaries. This inclusive approach ensures we make the best technical stack decisions that finely balance trade-offs. Whether it's OpenAI, Rasa, TensorFlow or other, I'll provide comprehensive explanations to facilitate our decision-making process. Under my tutelage, your bot will possess a deeply nuanced understanding of natural language and deliver context-aware responses. Also, you can count on me to furnish a streamlined API or SDK for a seamless integration into your chosen frontend and a lightweight admin interface empowering you to update intents with ease. Lastly, you deserve an efficient technology partner who prioritizes long-term customer relationships – which is what I offer to you today!

@albertc1996

Hi, I can build this as a genuinely production-ready conversational AI system, not something that passes a soft demo and falls apart in real use. I've shipped conversational AI and LLM applications end to end before, including model fine-tuning, custom tool-use/agent harnesses, retrieval pipelines, and cost-optimized serving at scale, so I can move fast here. On the 90% target: this is the real risk, so it's the spine of the build, not a final checkbox. During discovery we lock the bot's personality, knowledge sources, and a golden test set from real expected prompts. Every iteration gets scored against it, and I tune retrieval, fallback logic, and prompt context, fine-tuning the model if needed, until we clear 90% consistently, not just on cherry-picked examples. Stack: - Python/FastAPI backend as a REST API/SDK, so website, mobile, or social front ends all integrate the same way. - PostgreSQL + pgvector for retrieval and embeddings, no separate vector DB needed. - Redis for conversation memory, caching, and rate limiting. - A custom orchestration/tool-use harness rather than framework defaults, giving full control over multi-step logic and fallback behavior. - LLM layer: start with a strong hosted model for speed, with fine-tuning an open-weight model as an option once we have real conversation data, whichever hits 90% at the best ongoing cost. - Cost optimization from day one: semantic caching, prompt compression, routing simple intents to cheaper models, reserving the larger model for hard turns. - Lightweight React admin panel for editing intents/responses and viewing usage stats, no code required. Latency: targeting p95 under 1.5s via semantic caching, bounded retrieval, async model calls, and keeping analytics fully decoupled from the response path. Timeline: Week 1 discovery + golden set. Weeks 2–3 dialogue engine, retrieval, fallback, API. Week 4 admin UI, analytics, fine-tuning pass if needed. Day 25–30 UAT, latency tuning, handoff. Handoff: full ownership of code, prompts, fine-tuned weights, data, config, and docs on final milestone. Fixed bid: ₹180000 for 30 days, milestone-based. I can start as soon as scope is finalized.

@IslamMinhajul

Hi, I am already working on AI from 6 years and developed many ChatBoat, GenAI, Empty Modal and its trainer with custom information boundry etc.

@WCTech

Hello, We can build your custom production-ready AI conversational bot from the ground up, including the AI engine, backend APIs, admin panel, analytics and deployment. We'll Deliver ✅ Discovery & conversation architecture ✅ AI model selection and integration ✅ Context-aware conversational engine ✅ Intent, dialogue flow & fallback handling ✅ Knowledge base / RAG integration where required ✅ Clean REST API/SDK for web, mobile or social channels ✅ Admin panel for managing knowledge, intents and responses ✅ Usage analytics and conversation monitoring ✅ Secure deployment and environment configuration ✅ Complete source code, documentation and handover Milestones Discovery & technical architecture AI engine + knowledge/context layer Dialogue, fallback & API development Admin panel & analytics Testing, optimization & deployment Final handover We can share relevant conversational AI/API projects and provide a clear milestone-based estimate after reviewing your use cases and test prompts.

@ammarahmed20

As a seasoned AI developer, I have an in-depth understanding of the development process required to create highly efficient, context-aware AI-powered bots just like the one you envision. With my diverse skill set including strong competence in Python, Node.js and PHP, I am confident that I can build a sturdy conversational engine that understands natural language and provides contextually intelligent responses. Moreover, I have deployed over 40 production-ready AI solutions, including voice agents for call booking as well as chatbots handling support duties 24/7; Real-life solutions, real-life code. I am well-versed with key AI models such as OpenAI, Rasa and TensorFlow and their respective tradeoffs which will enable me to help you make informed choices when selecting your core model. Throughout my career, delivering high quality on agreed timelines has been a driving force in every project I undertake. Leveraging this principle, I promise to not only meet your acceptance criteria of 90% test prompt accuracy and 1.5s Latency per response on standard hosting but also provide you with clear documentation for future use. Let's get started today and bring your vision of an exceptional AI bot to life!