Free Final Year Project with Source Code | AI Nutrition Assistant | IBM Watsonx + RAG + LangGraph

🥗 Build a Generative AI-powered Nutrition Assistant as your Final Year Project — completely FREE with source code on GitHub!

In this video, I walk you through my Nutrition Agent project — a full-stack Generative AI application built using IBM Watsonx, RAG Pipeline, LangGraph ReAct Architecture, and Vectorized Document Search. This is a perfect Final Year Project for CSE, IT, AI/ML, BCA, and MCA students!

🚀 Project Highlights:
- Built using IBM Watsonx Generative AI (LLM)
- RAG (Retrieval Augmented Generation) Pipeline
- LangGraph ReAct Agent Architecture
- Vectorized Document Search for contextual answers
- Personalized Meal Plans & Dietary Advice
- REST API Endpoints for integration
- Deployed and tested end-to-end

✅ What you'll learn from this project:
- How Generative AI works in real-world applications
- What is RAG (Retrieval Augmented Generation)?
- How LangGraph ReAct agents reason and act
- How to build and deploy an AI agent using IBM Watsonx
- How to set up vectorized document search
- How to structure a final year AI/ML project

💡 Perfect for:
- Final year CSE, IT, AI/ML, BCA, MCA students
- Students looking for impressive AI-based FYP ideas
- Anyone learning Generative AI and LLM applications

🔗 GitHub (Full Source Code — FREE):
https://github.com/yashkohinkar/Nutrition_Agent

🔗 All Projects on GitHub:
https://github.com/yashkohinkar

🔗 Connect with me on LinkedIn:
https://www.linkedin.com/in/yash-kohinkar-8b3786248/

⭐ If this helped you, please LIKE, SHARE & SUBSCRIBE — it helps more students find this FREE resource!

💬 Comment below if you need help setting up this project — I reply to every comment!

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Видео Free Final Year Project with Source Code | AI Nutrition Assistant | IBM Watsonx + RAG + LangGraph канала Yash Kohinkar