Predicting Tags for Stack Overflow
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Updated
Oct 5, 2019 - HTML
Predicting Tags for Stack Overflow
An E2E NLP web app build using Flask and deployed as an image on Docker Hub. The assiduous description is provided in README.md
The purpose of this analysis is to build a prediction model to predict whether a review on the restaurant is positive or negative
Natural Language Processing (NLP) applied to over 200,000 subreddit submissions to correctly identify subset containing suicidality with applications for advancing clinical suicide prevention research.
CraveCrafters is an AI-powered food ordering web application that seamlessly integrates a chatbot to assist users with menu browsing, order placement, and customer service. The system features a Node.js backend, a FastAPI-based chatbot, and an interactive frontend built with HTML, CSS, and JavaScript. It utilizes MongoDB as its database.
A Natural Language Processing model to perform Sentiment Analysis of US Airline Customers
Course Navigator is a personalized course recommendation system that helps learners discover relevant online courses based on their interests, skills, and career goals. Built with Python, Streamlit, and machine learning, it offers intelligent suggestions, learning path roadmaps, and real-time feedback to support continuous learning and professiona
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