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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.