Organize and classify files based on their content using NLP
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Updated
Mar 29, 2026 - Python
Organize and classify files based on their content using NLP
🚀 A Job Recommendation Engine built with FastAPI and MongoDB, designed to integrate with a job portal frontend. Uses TF-IDF + Cosine Similarity to recommend jobs to users based on their skills. Exposes a /recommend/{user_id} endpoint that returns personalized job suggestions in real-time.
ChatBotFAQs is a lightweight web-based chatbot that answers frequently asked questions using NLP techniques. It uses TF-IDF vectorization and cosine similarity to find the most relevant answer from a predefined set of FAQs.
Machine Learning-based E-Commerce Product Recommendation System using Python, TF-IDF Vectorization, Cosine Similarity, and Streamlit.
Sentiment Analysis Project using Count Vectorizer and TF-IDF Vectorizer
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