I embarked on my computer science journey in class 11, starting with Python and quickly expanding my horizons. My first significant project, R.A.O.D.S (Reduction of Accidents from Overspeeding and Drunken Driving), earned me a spot in the finals of IBM's AI Sewa competition and a place in the top 10 at the ATL Marathon.
My academic path advanced at BML Munjal University, where I pursued a BTech in Computer Science and Engineering, consistently maintaining above 80% in my coursework. As I delved deeper into Python and explored new languages, my interests broadened to encompass Data Science, Machine Learning, Web Development, Mobile Application Development, and Full Stack Development.
Describing myself as a dynamic and passionate learner, I am always eager to create projects that positively impact people's lives. My adaptability and enthusiasm for learning are my core strengths. Whether it's mastering a new programming language, exploring a new framework, or diving into the latest technologies, I am always ready to embrace new challenges. My diverse projects reflect this, showcasing a wide array of skills and interests.
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College Vidya App
Description:
CollegeVidya is a feature-rich mobile app crafted with Flutter, blending Dart and Java for a seamless frontend experience. Integrating OAuth authentication and RESTful APIs, it streamlines college activities and information access.
Tech Stack: Dart, Flutter
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Pick-A-Book
Description:
A complete social APP for reader which allow them to share their views and also share hard-copies. Made using flutter, dart, MongoDB and Firebase. It leverages Machine Learning (recommendersystem) Algorithms and Human Computer Interaction to deliver good user experience.
Tech Stack: Flutter, HTML, CSS, MongoDB, JavaScript, RestAPIs, Machine Learning
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Legal Document Generation
Description:
User-friendly Website for generating legal papers in English and Hindi. The work on this project is done in two different reposiort to achieve Modular Architecture.
Tech Stack: Angular Js,PSPDFKIT, RestAPIs, NodeJS, MongoDB, Firebase, Javascript
