Python
Predictive Analytics on Diabetes Data using Machine Learning Techniques
Privacy-Preserving Outsourced Support Vector Machine Design for Secure Drug Discovery
Product Recommendation System Using Large Language Model Llama 3
To develop a chatbot that integrates Retrieval-Augmented Generation (RAG) and Llama-3 API for product recommendation by leveraging a vector database with embeddings created using SBERT. This aim involves addressing limitations in traditional recommender systems, such as cold start problems and lack of personalization, by combining state-of-the-art language models with efficient data retrieval mechanisms.
Quantum Safe Multi-Factor User Authentication Protocol for Cloud-Assisted Medical IoT
Aim:
To design and implement a Quantum-Safe Multi-Factor User Authentication Protocol for Cloud-Assisted Medical IOT systems, ensuring secure, privacy-preserving, and tamper-resistant access to sensitive healthcare data, even against future quantum-computing attacks, by integrating post-quantum cryptography.
Rank Fusion-Based Crime Scene Shoeprint Image Retrieval
Aim:
The aim of the document project is to develop an automated shoeprint image retrieval system for forensic investigation. The system focuses on matching crime-scene shoeprints with reference images using handcrafted visual features. It seeks to improve retrieval accuracy through rank-level fusion of multiple descriptors.
Ransomware Classification and Detection with Machine Learning Algorithms
RanViz Ransomware Visualization and Classification Based on Time-series Categorical Representation of API Calls
ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models
Real Time Alert System based on Crime Area Mapping
Real-Time Object Recognition with Voice Feedback for Visually Impaired Based on Raspberry Pi
