You will get Production ready,full AI-powered system using Hugging Face,GPT-5, and LLaMA

Project details
You will get a multi-model intelligent chatbot powered by leading LLMs such as OpenAI, Gemini, and Hugging Face.
The system is designed to understand and retrieve information from your custom data using advanced RAG (Retrieval-Augmented Generation) architecture with vector databases like Pinecone, FAISS, or ChromaDB.
Whether you're working with documents, PDFs, or website content, I transform your data into a smart, context-aware AI assistant that delivers accurate, fast, and reliable responses.
I focus on building solutions that go beyond basic chatbots—ensuring scalability, performance, and real-world usability. With experience in developing and deploying multiple AI systems, I make sure your solution is production-ready and aligned with your business goals.
The system is designed to understand and retrieve information from your custom data using advanced RAG (Retrieval-Augmented Generation) architecture with vector databases like Pinecone, FAISS, or ChromaDB.
Whether you're working with documents, PDFs, or website content, I transform your data into a smart, context-aware AI assistant that delivers accurate, fast, and reliable responses.
I focus on building solutions that go beyond basic chatbots—ensuring scalability, performance, and real-world usability. With experience in developing and deploying multiple AI systems, I make sure your solution is production-ready and aligned with your business goals.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Software MaintenanceAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$149
|
Standard
$499
|
Advanced
$1,499
|
|---|---|---|---|
| Delivery Time | 2 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | - | |
Model Documentation | - | ||
Ontology | - | - | |
Source Code | |||
Taxonomy | - | - |
Frequently asked questions
About Devesh
Expert Full Stack & AI/ML + LLM | RAG, Agents & App Development
Varanasi, India - 3:42 pm local time
Whether you’re launching an MVP, improving an existing product, or adding new features, I focus on clean code, smooth user experience, and clear communication throughout the project. My goal is not just to “write code,” but to deliver solutions that actually work in real-world use.
I have hands-on experience working with modern frameworks and tools, and I’m comfortable handling both frontend and backend responsibilities. Clients appreciate working with me because I’m structured, responsive, and transparent about timelines and scope.
What I Can Help You With :
• Web applications using React & Next.js
• Mobile apps using Flutter
• Backend development & APIs (Node.js / Django)
• AI-powered features (chatbots, automation, integrations)
• Bug fixing, performance optimization, and feature enhancements
• Deployment support and Cloud Management
How I Work :
• Clear discussion of requirements before starting
• Well-defined scope and realistic timelines
• Regular updates and progress sharing
• Clean, maintainable, and readable code
• Testing before delivery
• Support and guidance after project completion if required
Best Fit Clients :
• Startups and founders building MVPs
• Small to mid-size businesses
• Agencies looking for a reliable development partner
If you’re looking for a developer who takes responsibility, communicates clearly, and focuses on practical results — let’s discuss your project.
Steps for completing your project
After purchasing the project, send requirements so Devesh can start the project.
Delivery time starts when Devesh receives requirements from you.
Devesh works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1: Requirement Analysis
Review your project details, data sources, and use case. Finalize scope, features, and technical approach.
Step 2: System Design
Design the AI architecture (RAG pipeline, chatbot flow, APIs, and database structure) based on your requirements.






