My Projects

2. Machine Learning Approaches to Crop Yield Optimization

A machine learning solution that predicts optimal crop yield using historical data. It incorporates neural networks, gradient boosting, and hybrid time series models for accuracy.

Technologies Used: Python, Pandas, Scikit-learn, XGBoost, LSTM

1. Vegetable Information Retrieval Using NLP

An NLP-powered web app that provides nutritional facts for vegetables using pre-trained models. It helps users access information like vitamins, minerals, and culinary uses.

Technologies Used: Python, Flask, Natural Language Processing, scikit-learn

3. Event Planner: Organize Your Social Calendar (MERN Stack)

A MERN stack application designed to plan and manage social events. Users can add, update, and track personal or group events with a user-friendly UI.

Technologies Used: MongoDB, Express.js, React, Node.js