Pear 🍐 is extension for music player

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

Learning app for kids

my dev setup

This module is based on Spring Authorization Server and contains information on using Spring Security OAuth2

Provides real-time air quality insights by displaying PM2.5 levels for any location, along with historical trends and future predictions. Designed with a scalable architecture, it integrates Django…

Provides real-time air quality insights by displaying PM2.5 levels for any location, along with historical trends and future predictions. Designed with a scalable architecture, it integrates Django…

A blog site to display my poems. Has the option to comment and like. Stores comments and contact details of visitors in a my-sql database. Used Docker.

A simple React.js application which lists top 5 dishes of the selected Indian state. Used Docker, hosted image on Dockerhub

Finance_Atlas: A simple web platform that displays economic indicators of 5 countries. Used IMF(International Monetary Fund) API to retrieve the data.

UAV detection using Custom dataset. Trained using Ultralytics YOLOV8 API Annotated using Roboflow

Used the NYT (New York Times) API to retrieve the most popular articles spanning a week, performed some data cleaning operations, then employed JS, Python alongside Matplotlib and JSON for analyzin…

An Interactive Web application using React.js, to showcase the top 5 discography, genre of a chosen artist, mood and duration of their songs. Integrated with the Spotify API, used sentiment analysi…

Sunscreen recommender using Java Swings, JDBC, Maven and MySQL, with a database of 40+ Sunscreens. Allows query of data by listing ingredients or SPF.Data collected using Beautiful Soup

A CNN classifier model achieving a test accuracy of ~82%, categorizes images into three distinct patterns: Banarasi, Pichwai, and Ikat. Also applied ResNet and EfficientNet architectures on the dat…

A comprehensive Analysis and Prediction of Housing Prices in Hyderabad: Prediction using Multiple Regression,Linear Regression. Techstack: Matplotlib, Numpy, Pandas, Scikit Learn

Config files for my GitHub profile.

A Random Forest based ML model that predicts the price of a home in hyderabad based on Location and Sqft. Deployed on web using Flask