Camouflage Detection Using Deep Learning
Implement deep learning approach to find and segment camouflaged objects in a scene. With applications involving Nature expedition, military surveillance and polyp detection.
A passionate AI explorer specializing in Machine Learning, Data Science, and Robotics. With a portfolio of projects, I've woven AI into the fabric of Autonomous Robotics and Healthcare, shaping a future where technology thrives with empathy. Join me in redefining possibilities.
@ManthanKPatel
Implement deep learning approach to find and segment camouflaged objects in a scene. With applications involving Nature expedition, military surveillance and polyp detection.
application of artificial intelligence in the autonomation of colonoscopy for routine colorectal cancer surveillance.
This project involves work on predicting Multiple Assets Simultaneously using Stock Market Indexes such as S&P500, Nasdaq and DJIA and the evaluation of respective performance of indexes.
We use the Camera-LiDAR Object Candidates Fusion for 3D Object Detection (CLOCs) network and conduct a comprehensive study of the fusion architecture and detection framework
These are my Data analysis projects which involve work around data analysis using Machine learning models.
an implementation of PPO, SAC, DQN and DDPG for autonomous navigation in a corridor environment with a quadcopter. There are blocks having circular opening for the drone to go through for each 4 meters. The goal is that the agent navigates through these openings without colliding with blocks. The train and test environments were created using Unreal Engine and Microsoft AirSim.