Experience

This project demonstrates real-time railway safety automation, reducing human errors and potential accidents at level crossings. The system is designed to increase safety by automating the process of opening and closing railway gates based on train detection, using a combination of IR sensors and Raspberry Pi for control and monitoring.

• Built a prototype using Raspberry Pi, IR sensors, and servo motors
• Automated gate closing when a train is detected by the entry sensor
• Automated gate opening after the train passes the exit sensor
• Reduced manual intervention and enhanced operational safety
• Demonstrated real-time monitoring and safety automation

Leading the development of an AI-driven mental health wellness platform as part of my college project. Built an innovative system combining Computer Vision, NLP, and Machine Learning technologies.

• Implemented real-time emotion detection using OpenCV and TensorFlow
• Developed NLP-based chatbot for personalized mental health support
• Created secure backend architecture with Node.js and MongoDB
• Designed responsive frontend with modern UI/UX principles
• Integrated facial emotion tracking for mood analysis

Actively participating in technical and academic events, hackathons, and collaborative projects to enhance my skills and contribute to the tech community.

• Participated in multiple national and inter-college hackathons
• Developed innovative tech solutions under tight deadlines
• Collaborated with diverse teams on complex technical challenges
• Contributed to open-source projects and community initiatives
• Mentored junior students in programming and project development