Projects

End to End driving (2018)

• 
  
• Used Unity simulator to collect the good driving data.
• Using input images from the three camera and corresponding steering angle trained a feed forward Convolution neural network.
• Used the trained model to drive on different tracks in Unity simulator.
• Project Utilized: PyTorch, Python, Unity Simulator.

Navigation (2018)         

 

• Trained a Unity ML agent to navigate through the state space to collect Yellow bananas
• Trained three layered feed forward Deep Q Network.
• Used Replay Buffer and soft update.
• Project Utilized: PyTorch, Python, UnityML

Facial Keypoint Detection and Real-time Filtering (2017)

 

• Created and trained a CNN network to detect 15 facial keypoints.
• The project takes in an input image/video and can detect the keypoints.
• Project Utilized: Python, Keras, TensorFlow, OpenCV

Development of Garden-bot: 

An automatic irrigation system sensing soil moisture content using self made sensor for efficient use of resources and optimum flow of water in the fields (2016)

• Developed an automated irrigation system developed to take care of your plants in your absence.

• Uses self-made low-cost capacitive sensors for the detection of water level in plants.
• Sensors are interfaced with Raspberry Pi microcontroller board. 
• Algorithm was developed to detect the threshold moisture levels and control the water inflow for efficient use of water. 
• Java-based app interface is also developed to allow manual control and inspection of the moisture content.