Nirav Jain

Hey there,
This is Nirav Jain from DJ Sanghvi College Of Engineering.
I am a coding enthusiast who likes to develop things a lot. My key areas of interest include Machine Learning and AI along with algorithms. I have done one internship as a Deep Learning Research Intern in the filed of Computer Vision at Cerelabs where I worked on table_line_item detection i.e. extracting data from the image of a statistical table. My other projects are as follows:

1. 3DFace – Implemented a conditional GAN with a Markovian discriminator and a U-Net based generator to generate 3d point clouds from 2d face images. The generator was trained using a weighted L1 loss and adversarial loss on the AFLW2000-3D dataset. The point clouds were generated using 3DDFA on the dataset. The generator had a final loss of 0.44 which generated pretty good results.
2. Drone Automation – Automated a drone to detect different colored LED’s using OpenCV and Robot Operating System (ROS) and programmed a simulation for the same using Virtual Robot Experimentation Platform (V-REP) during e-yantra, a robotics competition at IIT-Bombay. Used the WhyCon localization system during the project to get the drone's position, did the required PID tuning for the stability of the drone, and made the circuits for the competition environment.
3. FarmEasy – A platform that helps farmers by predicting rainfall using an LSTM network for time-series prediction and suggesting crops based on factors like region, soil, and the amount of predicted rainfall. The platform was built using Python-Django and ReactJs and had functionalities like a chatbot and a Web RTC- based video calling system.
   Want to know more?
   Check out my resume!!