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1. Book_Recommender_LLM Book_Recommender_LLM Public

   An AI-powered Book Recommender System powered by LLM, LangChain, ChromaDB, and Transformer models.

   Jupyter Notebook

2. Twitter-Sentiment-Analysis Twitter-Sentiment-Analysis Public

   Built a sentiment classification model using the Sentiment140 dataset to predict tweet polarity (positive/negative). Implemented an NLP pipeline with text preprocessing, vectorization, and supervis…

   Jupyter Notebook

3. Heart_Disease_Prediction Heart_Disease_Prediction Public

   This project develops a machine learning model to predict the presence of heart disease using clinical patient data. The objective is to build a reliable classification system that can assist in ea…

   Jupyter Notebook

4. Movie-Recommendation-System Movie-Recommendation-System Public

   A content-based Movie Recommendation System built using Natural Language Processing (NLP) techniques and cosine similarity

   Jupyter Notebook

5. Medical-AI-Assistant Medical-AI-Assistant Public

   Medical AI Assistant: is a RAG-based application that lets users upload medical PDFs and ask questions, using Google Embeddings, Pinecone, and LLMs to deliver context-aware answers.

   Python

6. Products_AI_Assistant Products_AI_Assistant Public

   AI-powered shopping assistant built with FastAPI, Gemini, Pinecone, MySQL, and Streamlit using Retrieval-Augmented Generation (RAG).

   Python