Madhan Kumar S's repositories
Artificial-intelligent-chatbot
AI chatbot designed for the coaching institute to respond to the students regarding the course details and deployed in the Flask web framework. Apart from that it can respond to the uses anything they ask.
whatsapp-book-local-machine-deployment
Converts the WhatsApp exported text file into viewable conversation, option to download the chat conversation into PDF format and chat statistics based on the chat activity
Artificial-intelligent-chatbot-heroku-deployment
AI chatbot designed for the coaching institute to respond to the students regarding the course details and deployed in the Flask web framework. Apart from that it can respond to the uses anything they ask.
Smart-website-category-classifier-deployment
Classifying the website category and can able to learn the new category by the input of the user and the most commonly used words also populated. Used Spacy NLTK pipeline, Multinomial Naive Bayes classifier, Fastapi. Deployed the API in the Heroku cloud platform.
whatsapp-book-heroku-deployment
Converts the WhatsApp exported text file into viewable conversation, option to download the chat conversation into PDF format and chat statistics based on the chat activity
CCTV-stranger-detection-alert
Detecting the human subject other than the family members through the CCTV footage and alerting the house owner through the mail.
Data-scientist-growth-rate
Analysing Data scientist growth rate from Naukri website
express-hello-world
Implements the Expressjs Hello World example to provide a faster start deploying on the Cyclic platform
Hand-written-digit-recognition
Recognising hand written digit in the image by using the Open-CV and Convolution Neural Network
linkedin_scraper
A library that scrapes Linkedin for user data
Road_accident-safety-precaution
Analysing the road accident data from the Indian government website and suggesting a few important safety measures for the travellers.
Optical-charater-recognization-translation
Extracting text from the image and translating by multiple languages
smart-website-category-classifier-local-machine-deployment
Classifying the website category and can able to learn the new category by the input of the user and the most commonly used words also populated. Used Spacy NLTK pipeline, Multinomial Naive Bayes classifier, Fastapi.