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An app that helps investors make smarter decisions by providing real-time stock data, financial metrics, price alerts, AI insights, and risk management—everything needed in one simple tool.
Creating a Single wearable device that tracks both BP & blood sugar levels, designed to provide early detection for issues like Silent Myocardial Infarction, Heart Attack and Cardio Related Issues.
N/A
Personalized AI-Powered Investment Advisory Tool
hackathon submission
PowerPulse: Monitoring Energy Flows to Spot Fraud Instantly.
Fraud Detection on given dataset optimised using following techniques: 1. Feature engineering on datetime features 2. Random undersampling 3. SMOTETomek oversampling 4. HP tuning using optuna
"Maximizing returns and minimizing risk with real-time insights: A powerful portfolio optimization and stock recommendation tool powered by Modern Portfolio Theory and advanced prediction models."
MelaninMed is a deep-learning powered mobile app for racially equitable skin cancer detection. It mitigates racial performance bias in existing tools, offering a low-cost, high-accuracy detector.
Growing concern for women's safety due to increasing crimes. Need for advanced surveillance and analytics.
This project aims to reduce the waste of electricity through inefficient components by doing so it will help in reducing carbon emissions as they will drastically go down
AI that can detect Emotions
Elon Musk calls LinkedIn "unbearably cringe" so I built the LinkedIn Post Cringe Analyzer! Using data from LinkedInLunatics & AI, it scores your posts for cringe. Judge yourself! 😏
A way to balance AI prediction of crime through a more equitable system that minimizes the shortcomings of the bias COMPAS algorithm.
Predict key macroeconomic metrics like Revenue Growth and WACC with our interactive tool, leveraging real-time inputs and visualizations to inform economic decisions
Explore the world of quantum computing! Simulate a quantum coin flip, experiment with quantum teleportation, visualize Bloch spheres, and create Bell states, all through an interactive interface.
BioHack your Dating Life
Optimize learning choices with targeted sentiment analysis.
Classifies patients in two categories– Schizophrenia and Control– based on neuroimaging data.
This project predicts if the female patient has diabetes.
