Computer Vision Intern @ Entrupy | MTech AI @ IISc | BTech Electronics @ VJTI

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Manish Aradwad  • Peerlist

Understood and applied YOLOv5 for object detection. The model is trained on Kaggle’s traffic sign dataset

Mini Project: Traffic Sign Detector

Art Generation using Neural Style Transfer and Face Recognition with the help of ML models based on Convolutional Neural Networks.

Face Recognition and Neural Style Transfer using CNN

Analysed and compared different Visual SLAM algorithms on an Autonomously navigating robot in indoor environment. Our research paper on this project has received Best Paper Award in Robotics and Cybernetics track at IEEE INDICON Conference.

Autonomously Navigating Mobile Robot

Analyzed electricity consumption data from a residential building on the IIT-B campus and predicted the consumption for consecutive years. Done as a part of an internship at IoT
Lab, VJTI.