Recognizes about 80 daily-life objects like person, bike, bags, couch, plants, etc. from images using deep learning model trained on COCO dataset. Entire frontend is responsive and built with React. The images are processed on server-side and sent back as API response. The API is built with Flask served by Gunicorn WSGI server and deployed to Heroku.