Aditya Vikram Singh

* Extracting Warehouse Availability/To-Let Information from Newspapers -> Extracting the information from the advertisement section of the newspapers using custom trained YOLOv4, image processing, and Pytesseract. * Extracting the Location (Lat & Long) of Warehouses from Google-Map -> Extracting the exact location of warehouses from Google-Map in a given region of India using YOLOv4, OpenCV, and Selenium. * Build the Database of Warehouse Details -> Build the database using Python, Selenium, bs4, etc.

* Toxic Comment Classification and Unintended Bias Reduction -> Build an AI model to classify comments as toxic/non-toxic with reduced unintended bias. Used multiple models and then stacked all trained models to give the final prediction. * Question-Answering System similar to Simple Search Engine -> Build an AI model to classify a given question & its answers as right/wrong. Used MRR (mean reciprocal rank) as a metric to select the best model & used probability to sort the answers of question