Hello there, This was my 5th Semester project for MCA at Cotton University. The app uses android Canvas API to draw on the screen and then uses android Digital Ink Recognition model to recognize the drawn handwriting and translate it to text. The app is built using Kotlin and Android Studio.

Koan is an app that delivers a new koan every day, offering wisdom and reflection. As you engage with the app, you’ll discover hidden features that unlock over time. Each koan contains subtle hints, guiding you towards these secrets. Dive deep into the world of koans and uncover the mysteries within

I developed a comprehensive File Tracking System using Laravel, designed to efficiently manage and track physical files within an organization. The system enables users to monitor the movement and location of files across various departments, rooms, and racks, while implementing multi-level user management that determines who can perform specific actions. This ensures streamlined operations, enhanced accountability, and secure handling of sensitive information.

A Flutter package for both iOS and Android that converts a given amount to word in Indian Locale. Currently it support conversion till Crore. The maximum number is (999999999).

Makes Call Directly without user interaction. Ideal for application that has emergency call services. One example would be a distress app that makes phone call when phone is shaked three times.

Hello there, This is just a simple game of Tic-Tac-Toe. The game can be played using the terminal or the command line. This was built using Python and just one external library to color the output in the terminal. The interesting part is unlike other tick-tak-toe games, it can be played on a board of NxN size.

Unleash the power of AI on your device with TinyChat! Experience seamless, intelligent conversations with our app that runs TinyLLaMA locally, ensuring privacy, speed, and offline capability. Whether you need assistance, want to have a friendly chat, or seek information, TinyChat is here to help anytime, anywhere.

Hello there, This was my Thesis for MCA at Cotton University. I developed this PoC as an Intern at IASST, Guwahati. The model for prediction was trained using Keras on top of tensorflow and the web app was built uising Django

I developed a full-stack Cricket Data Platform, including a RESTful Cricket Data API and a Flutter mobile app that consumes it. The API aggregates real-time cricket data—leagues, fixtures, live scores, match statuses, standings, and team stats—allowing seamless integration into mobile and web applications. This project was completed for a technical interview to demonstrate both backend and mobile development skills.

Explore the fascinating world of depth perception with this cutting-edge web application! Using the power of TensorFlow.js and the MiDaS (Monocular Depth Estimation) model converted to TensorFlow Lite format, this project brings real-time depth prediction right to your browser.