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1. Placement-Salary-Prediction-System Placement-Salary-Prediction-System Public

   End-to-end ML pipeline predicting student placement & salary. Features data preprocessing, scaling, and PCA dimensionality reduction. Uses Logistic Regression for classification, evaluated via con…

   Jupyter Notebook

2. Customer-Segmentation-using-KMeans-Clustering Customer-Segmentation-using-KMeans-Clustering Public

   Gemini said This project segments customers using K-Means clustering based on age, income, spending, frequency, and online scores. It features automated preprocessing, Elbow Method optimization, an…

   Jupyter Notebook

3. Smart-Customer-Intelligence-System Smart-Customer-Intelligence-System Public

   An end-to-end Machine Learning project that combines unsupervised (K-Means clustering) and supervised learning (Decision Tree) to analyze customer behavior. It segments customers into groups and pr…

   Jupyter Notebook

4. Handwritten-Digit-Classification-using-CNN Handwritten-Digit-Classification-using-CNN Public

   A deep learning mini project that uses a Convolutional Neural Network (CNN) built with PyTorch to classify handwritten digits from the MNIST dataset. It includes model training, evaluation, saving/…

   Jupyter Notebook

5. Zoe--AI-Chatbot Zoe--AI-Chatbot Public

   Zoe is a friendly, brilliant, and slightly witty AI assistant built with Next.js, LangChain, and Mistral AI. Designed to provide more than just answers, Zoe brings a touch of personality to the cha…

   TypeScript

6. rag-using-langgraph rag-using-langgraph Public

   A full-stack RAG chatbot application using LangGraph for orchestration, ChromaDB for vector storage, and Mistral AI for LLM responses, integrated with a Streamlit UI for real-time document-based Q&A.

   Python