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1. PDF_question_answering_chatbot_using_RAG PDF_question_answering_chatbot_using_RAG Public

   A PDF Question Answering System leveraging Retrieval-Augmented Generation (RAG) and advanced natural language processing. Combines vector-based indexing, semantic similarity, and HuggingFace Transf…

   Jupyter Notebook 1 1

2. Music_Recommendation_Engine Music_Recommendation_Engine Public

   An advanced Music Recommendation System leveraging a Spotify dataset to deliver personalized song suggestions. The project applies KMeans clustering, PCA, t-SNE, and cosine similarity for precise r…

   Jupyter Notebook

3. Microsoft-Classifying-Cybersecurity-Incidents-with-ML Microsoft-Classifying-Cybersecurity-Incidents-with-ML Public

   A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessi…

   Jupyter Notebook 4

4. Car_dekho_car_price_prediction Car_dekho_car_price_prediction Public

   A Streamlit web app utilizing Python, scikit-learn, and pandas for used car price prediction. Features data preprocessing (scaling, encoding), Random Forest model optimization with GridSearchCV, an…

   Python 2

5. Dominos---Predictive-Purchase-Order-System Dominos---Predictive-Purchase-Order-System Public

   This advanced forecasting tool leverages Prophet, ARIMA, SARIMA, and LSTM models to predict daily sales for 32 pizzas and 64 ingredients. With Prophet achieving the lowest MAPE, it ensures accurat…

   Jupyter Notebook 2

6. Redbus-project Redbus-project Public

   A Streamlit web app using Selenium for RedBus data scraping, MySQL for storage, and pandas for preprocessing, enabling dynamic filtering of buses by route, seat type, fare, ratings, and departure t…

   Jupyter Notebook 1