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AWS-REKOGNITION-FOR-FIRE-DETECTION
This is an AWS-Rekognition Script that is used for fire detection in kitchen for CSE-360 courseFaceBook-Messenger-Bot-Best-Bot-Ever
This is a Facebook Messenger bot that fetches all the critic reviews from IMDB , given the movie name by the user and provides them with the sentiment score for that particular movie using Machine learning. Backend - Nojde js. Webscraper- cheerio. For sentiment analysis an API was implented. Link - https://github.com/miftahihsan/IMDb-review-sentiment-APISoul-Food
This is an E-commerce website built for the purpose of food ordering and food delivery. Front end - HTML CSS JS. Backend - PHPIMDb-review-sentiment-API
This api is used to get a sentiment score out of any sort of review text. Has an accuracy score of 86.66%. Has to be deployed to a High performance server like AWS before use.Hackathon-AWS-Rekognition-with-Node-server.
This project won the 3rd prize of the Hackathon BUET CSE FEST 2019. Firebase has been used for user authentication. React used to build the front end and Node for the backend. AWS-Rekognition was implemented for face detection and image processing.Love Open Source and this site? Check out how you can help us