Trained a dataset containing dogs of various breeds and differentiating it among images of other animals. Achieved an accuracy of 88.1 %.
Lane detection using OpenCV for self-driving cars.
Built a website to give movie recommendations.
A network-level advertisement and Internet tracker blocking application using Raspberry Pi 3.
An automatic car using Arduino, IR sensors, ultrasonic sensors, and a camera.
Conversion of .jpg, .txt files to PDF using Java.
Using Blockchain technology to prevent misuse of student discounts. The project was done in the Blockchain Challenge Lab at UC Berkeley. Led this project which became one of the best projects of the class.
Created and trained a chatbot using Landbot to help a student find tutors on an online tutoring platform.
Drawbot made from scratch that moves and creates random colorful patterns in circular shapes. Used Arduino Uno, servos, and laser-cut lineages to hold the color pencils.