My Projects
Real-world applications I've built
Migraine Guard
AI-powered migraine prediction and management system. Analyzes trigger patterns, weather data, and lifestyle factors to predict migraine onset and provide preventive recommendations.
Weather Forecast App
Full-stack weather application providing real-time weather data and 5-day forecasts. Features interactive temperature charts, responsive design, and city search functionality using OpenWeatherMap API.
Electric Motor Temperature Prediction
Developed an ML model to predict electric motor temperature using real-world sensor data (voltage, current, speed, torque). Performed end-to-end data preprocessing, feature selection, and regression model training. Evaluated using RMSE and R² metrics.
Student Performance Prediction
Built a regression model to predict student final marks based on study hours, attendance, and previous scores. Handled data cleaning, feature engineering, and model evaluation (MAE, R²). Delivered real-time predictions with interactive interface.
Seenu Cancer Treatment Website
Designed and developed a multi-page informational website focused on cancer treatment awareness. Built a clean, responsive UI with intuitive navigation and well-structured content sections. Applied frontend best practices including semantic HTML and accessible design.
Internship Experience
AI & Machine Learning Intern - SmartBridge
APSCHE Collaboration | 240-Hour Industry Internship | 2024
- Completed a 240-hour (6-month) structured AI/ML internship in collaboration with APSCHE and SmartBridge
- Built and deployed two end-to-end machine learning projects covering data collection, preprocessing, model training, and evaluation
- Gained hands-on experience solving industrial AI problems using Python, Pandas, NumPy, and Scikit-learn
- Presented project outcomes and documented findings; improved communication of technical results to non-technical audiences