AI/ML Projects

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VibeLift

A bot that analyzes and reports the sentiment of social media posts.

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CineSync

CineSync is a simple movie recommendation tool that helps users find movies similar to their favorites.

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Compare AI

This project detects similarity between two text documents to identify potential plagiarism.

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Moodify

A web application built with Streamlit and scikit-learn that classifies the dominant emotion (e.g., joy, sadness, anger) from song lyrics and suggests related songs from a database with the same predicted vibe.

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Mythos AI

A machine learning project that predicts the main genre of a book using only its title.

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NINA (News Intelligence Neural Analyzer)

NINA is a smart news verification tool that classifies articles as real or fake using state-of-the-art NLP embeddings and machine learning.

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ReMixRecipe

ReMixRecipe is a tool that helps you figure out what cuisine you can cook using the ingredients you already have.

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ResuMatch

ResuMatch is a simple, beginner-friendly web application designed to help job seekers optimize their resumes.

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Seqnet

Seqnet is a deep learning–based text generation project that predicts the next word in a sequence using an LSTM neural network built with TensorFlow and Keras.

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WhatsApp Chat Analyser

A production-ready data analytics web app that transforms raw WhatsApp chat exports into meaningful behavioral and social insights.

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Banking Fraud Detection

A behavior-based Android Intrusion Detection System designed to identify suspicious and malicious activities on Android devices using digital forensic techniques and machine learning.

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SMS Phishing Detection

This project aims to detect and investigate phishing SMS messages using natural language processing and digital forensics.

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Smile-Cam

A real-time computer vision photobooth built with React and Flask that automatically captures photos when users smile.

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QuantWise

A modern portfolio analysis platform built with React and Flask that turns raw market data into actionable financial intelligence.

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Android Malware Detection

This project focuses on detecting malicious Android applications through static forensic analysis and machine learning.

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