Hii๐, I'm
Computer Science Graduate.
Dream it. Code it. Achieve it๐
๐จโ๐ I am a dedicated student with a deep interest in Machine Learning, Data Analysis and IOT with a strong focus on building scalable,
secure, and high-performance applications. With expertise in the revelant skills.๐ก๐ป
What I Do:
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Computer Vision โ Develop Machine Learning and Deep Learning models for real-world applications.โก
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Data Analysis โ Analyzing and visualizing complex datasets to derive actionable insights.๐
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IOT โ Build IoT-based projects by integrating hardware and software technologies.๐
Letโs build, secure, and scale the future of technology together!
Dr. A.P.J. Abdul Kalam Technical University, Lucknow
Eshan College of Engineering, Farah, Mathura
2022 - 2026
Focused on machine learning, data science and IOT.
Raj Inter College, Agra
2019 - 2021
Completed senior secondary education with strong emphasis on mathematics and computing.
6-week green internship in Data Analysis and Machine Learning
Working on real-world projects integrating AI, data analysis, and sustainability.
July 2025 - September 2025
4-week summer internship in AI development
Working on smart irrigation systems using AI agents.
June 2025 - July 2025
We Did It Again! ๐ฏ
Another battlefield conquered, another unforgettable tournament completed successfully!
Proud to announce that I successfully hosted 'Eshan Battlefield Series S02 โ 2025' under the banner of the legendary Hellfire Club.
From intense clutch moments to insane team fights, the event was filled with pure esports energy and unforgettable memories. ๐ฎ๐ฅ
AI-based Waste Segregation and Classification is a smart waste management project that uses Machine Learning and Computer Vision techniques to automatically identify and classify 5 types of waste such as plastic, metal, paper, glass and organic waste. The system helps improve recycling efficiency, reduce manual effort, and promote sustainable waste disposal through intelligent automation.
Smart Shoe with GPS and Motion Detection is an innovative IoT-based wearable project designed to track movement, detect activities, and provide real-time location details. The system uses sensors to identify walking, running, step count, and unusual movements like falls or limping. It also tracks the userโs live location through GPS and converts coordinates into a readable address using online maps. This project combines smart technology and wearable devices to improve safety.