Explainable AI resume ranking with Groq, Sentence Transformers, FAISS, and transparent deterministic scoring.
A deep learning project that classifies seven types of skin lesions using the HAM10000 dataset. Among four tested models, Swin Transformer achieved the best accuracy of 88.9%, showing AI’s potential in early skin cancer detection.
Production-ready Multi-Disease Prediction Platform (Diabetes, Heart, Parkinson's). Features SVM/Logistic Regression models, batch processing, and automated clinical PDF reporting. Built with Streamlit & Scikit-Learn.
Quantum-Inspired Hybrid Neural Network for accurate bandgap energy prediction using engineered material features and ensemble deep learning techniques.
SafeChat.AI is a modern Next.js application for real-time, AI-assisted messaging. It pairs a polished chat experience with guardrails like flagged-message workflows, friend controls, notifications, and presence to keep conversations safe without slowing users down.
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