KELVIN KORAT

Developed AI Systems/Softwares in areas like Invoice Processing, Document Classification, Optical Character Recognition (OCR), Named Entity Recognition (NER), Image Processing, Car Damage Detection etc. For the Invoice Processing AI Web Application, trained custom YOLOv5 model, extracted texts using pytesseract, and trained NER models using spacy and nltk. Output: Deployed the invoice processing web application.

Developed an Android application using Google cloud Vision API to extract text from medical records and Healthcare NLP APIs to extract meaningful entities. Output: Allows patients to upload medical records to get meaningful entities.

Conducted Case Study Analysis Capstone Projects. Trained a classification model to classify crops based on quality using seasonal factors like temperature and humidity. Output: Model determines which crop should be grown based on seasonal factors.

Designed the flow of a healthcare bot, using Azure power apps to create activity pages and connections for bot responses. Output: A healthcare bot that can act like a real doctor.

Created a single page HTML, CSS frontend web app with backend implementation of Django framework of Python. Output: Allows users to send emails to the receiver.

Used PowerBI to generate a dashboard for analyzing market data, visualizing time series data of product prices.