Enthusiastic Computer Science graduate with hands-on experience in Python programming, machine learning, and cloud computing. Proficient in developing IoT and artificial intelligence-based solutions. I am passionate about leveraging technical expertise to solve complex problems and contribute to innovative projects.
Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.
IoT based Coal Mine Safety Monitoring and Warning System
Develop a coal mine safety monitoring system to provide a clearer and more precise view of underground conditions., Shows real-time data on a serial monitor in the underground mine and on the monitoring unit., Generates an alarm when sensor readings exceed specified thresholds, helping miners take action before any fatalities occur., Wireless Sensor Networking, loT, Guarantee the safety and wellbeing of coal mine workers by continuously monitoring environmental conditions and updating safety Published Paper on loT based Coal Mine Safety Monitoring and Warning System in lEEE.
Online Beauty Parlor Management System
Node.js, Express.js, MongoDB, Built a web-based platform for managing beauty parlour operations, including appointment booking, staff scheduling, and service catalog management.
Medi Meet - Hospital Appointment System
Developed a hospital appointment booking system using Node.js, Express.js, and MongoDB., Designed RESTful APIs for patient registration, doctor scheduling, and appointment management., Implemented JWT-based authentication for secure, role-based access (patients, doctors, and admins)., Integrated real-time appointment notifications via email and SMS., Built a responsive user interface for seamless booking and management., Deployed the application on Heroku/AWS with optimized database