Projects on Computer Vision, MLOPs and NLP applications

1. Depth estimation from monocular images and simultaneous mask generation

   The objective of this project is to handle the joint tasks of:

   • predicting the depth of the background given a single image file (i.e no LiDAR or RGB-D data)
   • Reliable recreating image masks for the foreground objects/people.

2. LeetBeed: An AI automation Platform

   LeetBeed is a web platform to help faster and automated creation of Vision and Text models without any coding. The models can be automatically deployed to AWS Lambda with a simple webservice frontend for testing and using the deployed endpoints

3. Project NoCoder

   A code suggestion model based on Transformers which will generate Python code based on user query in English.