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

Описание: 🥗 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/Nutri...

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

🔗 Connect with me on LinkedIn:
  / 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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