Content-based anime recommendation engine built with Flask & Scikit-learn, featuring cosine similarity matching and top-10 rankings.
AI-powered job recommendation system that uses TF-IDF and KNN to match user skills and experience with relevant career opportunities.
A content-based recommendation engine that matches your skills to engineering roles using TF-IDF and cosine similarity
AI-powered career recommendation system built with Flask, TF-IDF, and Cosine Similarity to match user skills with suitable career paths.
An AI-powered Fake News Detection System built with Flask, TF-IDF, and Logistic Regression that classifies news articles as Real or Fake through a modern, responsive web interface.
Resume Screening App A lightweight AI-powered resume screening project that compares uploaded resumes against a job description and returns a ranked match score for each file. What it does Accepts a job description and multiple resume uploads. Cleans and normalizes text before scoring. Uses a semantic matching model based on sentence-transformers
Klasifikasi kategori berita BBC dengan TF-IDF dan Stacking Ensemble.
A Flask-based web app that recommends courses using user preferences, powered by pandas and scikit-learn
Bilingual interactive RAG tutorial with browser-based TF-IDF retrieval, visual explanations, and a demo knowledge base.
Machine Learning and NLP-based web application that classifies emails and messages as spam or legitimate using TF-IDF and Logistic Regression, with confidence-based predictions through a Flask web interface.
A production-grade movie recommendation system built with TF-IDF vectorization, cosine similarity, and a custom hybrid scoring algorithm — deployed as a cinematic Netflix-style Flask web application.
Fake news classifier — TF-IDF bigrams (50K features) + 4 NLP models (Random Forest ⭐ ~95% accuracy) on 6,300 labelled articles with Flask UI
Spam detector for email/SMS — TF-IDF + 4 NLP classifiers (Logistic Regression ⭐ ~99% accuracy, F1 ~97%) on UCI SMS dataset with Flask UI
Email system with spam detection, spelling check, AES encryption.
natural language processing and computer vision use cases for non technical user
Detecting and analyzing hate speech on videos relating to sexism on a right-wing platform (NLTK, scikit-learn, pandas).
Analysis of posts on police twitter handles.Classifying posts on categories and arrange them on the basis of severity.
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