Projects
Undergraduate Major Project
We have proposed a real-time traffic categorization model using Deep Learning & Reinforcement Learning which used traffic class signatures for identifying applications and applying QoS policies to the appropriate service.
Computer Vision / SLAM / Robotics
We had developed a swarm of autonomous rovers to perform in campus deliveries inspired by KiwiBots (Developed by UC Berkeley).
This project used NVIDIA JetPack SDK for accelerated object detection and Simultaneous Localization and Mapping using inputs from LiDAR and stereoscopic cameras.
Cross-platform frameworks
Truffle is a restaurant aggregator app featuring a complete suite of services such as push notifications, order placement and tracking flow integrated and provisions to make and track reservations.
IoT/ App Development
This project was a submission for a project-based course. An IoT powered Hydroponics monitoring tool was developed using Raspberry Pi as a centralized controller.
Developed using Express and NodeJs with MongoDB as the database and the Android/iOS application was built on the React Native framework.
Web Development/ MERN
Foodbiz is a shopping tracker built using Html, CSS, Sass, Javascript and Oracle Database 12c, as a hands on project while learning the fundamentals of web application development.
AI / Deep Learning
I had worked with Tensorflow, MNIST and Fashion MNIST's datasets to classify handwritings and fashion apparels, using neural networks as a part of my course project (Introduction to artificial intelligence using Tensorflow - Deeplearning.ai)
Robotics / Embedded Programming
I had deployed an Autonomous Robotic Translation System by fusing the data from encoders and inertial measurement unit to obtain precise and robust localization for the problem statement of ABU Robocon 2019.
