PROJECTS WORKED/WORKING ON

  1. Lets Shop : Intelligence for offline retailers
    • Built an application for brick mortar store to leverage the power of data Science and machine Learning on their purchase data to get valuable insights.
    • Faster and Efficient billing process using visual Recognition for customer and product checkout.
    • Empowered with demand forecasting and recommendation of similar products using previous data.
  2. Deep Fake Detection using Deep Learning
    • Proposed a pipeline in order to detect videos manipulated using DeepFake and Face2Swap techniques.
    • Was placed among top 15% submission in Kaggle DeepFake Detection Challenge.
  3. Fake News Detection using Deep Learning based NLP
    • Implemented a light weight feedforward ANN on LIAR dataset for both six way (true, mostly-true, half-true, false, barely-true, pants-fire) and binary (true, false) classification.
  4. Library Management System using SQL and C++
    • Modules such as Authorization and Authentication, Book Transaction, Book Search, Maintenance included.
    • User interface is designed and the database is managed after removing redundancy through normalization.
  5. Separating Bayer color channels using C++
    • Developed a program to separate RG/GB Bayer color channels to individual files.
    • Takes input a RAW12 file (apertus) and outputs .png files corresponding to different color channels.