Fullstack Developer
Data Scientist
I am a passionate and forward-thinking student pursuing bachelor's degrees in Data science and statistics from IIT Madras and also a B.Tech degree in Artificial Intelligence and Data Science from KJSIT. As I navigate this unique educational journey, I'm fueled by the belief that technology is the driving force behind the future, offering boundless opportunities to transform our world.
Skills
Javascript
Programming Language
TypeScript
JavaScript but better
React
JavaScript Library
Vue
Progressive Framework
NextJS
React framework
Tailwind
CSS framework
Git
Version control
Supabase
Open-source BaaS
Appwrite
Backend tool
Firebase
Backend tool
ExpressJS
Backend Framework
Python
Programming Language
C
Programming Language
Java
Programming Language
Google Cloud
Deployment tool
Projects
Class Connect
Currently over 1200 active users as a web application for students of my college, providing centralized access to notes, resources, past-year questions, senior advice, and college updates. Developed on production.
Timelith
An automated scheduling system for educational institutions that simplifies timetable creation. Integration with existing systems, significantly reducing time spent on scheduling.
AgriVision
AI-powered solution aims to revolutionize agriculture by detecting crop diseases early and providing sustainable, eco-friendly interventions, leading to healthier crops and reduced chemical usage.
Coin Counter
A coin counter using OpenCV that accurately identifies and counts coins, streamlining currency handling. It enhances efficiency in cash management and simplifies sorting tasks in retail and banking.
Rock Paper Scissor
OpenCV-powered rock-paper-scissors game for immersive, interactive fun, enhancing gaming experiences with computer vision.
Diabets Prediction
Uses machine learning to predict diabetes risk from patient data. It employs algorithms like logistic regression for real-time predictions and visualizations of risk factors.
Campus Shield
A real-time campus monitoring system providing insights into campus activities. Enhances safety through live surveillance and alerts, enabling quick incident detection and response. Recognized as a runner-up in a hackathon, Campus Shield showcases an innovative approach to campus safety.
Sentimental Analysis
Analyzes customer feedback sentiment and emotions with Streamlit, using VADER, TextBlob, and NRCLex, along with visualizations like word clouds and histograms.
Whatsapp Data Analysis
Extracts insights on message frequency and sentiment, creating visualizations such as word clouds. A user-friendly Streamlit dashboard presents trends and key interactions, helping users understand their communication habits.