Projects
Student Dropout Analysis
State-level analytics platform built to track, visualize, and reduce student dropouts using ML.
- Developed a comprehensive data collection and preprocessing pipeline.
- Implemented various machine learning models (logistic regression, random forest, etc.) to predict student dropout probability.
- Designed an interactive dashboard using data visualization libraries to display insights for administrators.
- Contributed to a research paper published in an IEEE conference (linked).
Advanced ANPR & Face Recognition
Finalist project at KAVACH-23 using YOLO, OCR, and React Native for secure surveillance.
- Integrated YOLOv5 for real-time object detection of vehicles and faces.
- Developed an OCR module to extract text from number plates.
- Built a cross-platform mobile application with React Native for monitoring, alerts, and data management.
- Designed the system for enhanced security and scalability in surveillance scenarios.
Drive Material LDRP
Centralized academic material portal helping thousands of students access organized resources.
- Designed and implemented a full-stack web application using modern frameworks (e.g., React, Node.js/Express, MongoDB).
- Created features for user authentication, file uploads, category-based organization, and searching.
- Ensured a user-friendly interface for students and content contributors.
- Handled deployment and scaling for thousands of users.