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.

Comments

Popular posts from this blog

Semiconductor quiz

Brief Profile

Valentine's Day Card Using Python