π₯ Heart Disease Prediction System
A comprehensive machine learning system that predicts heart disease risk using patient health data. This project analyzes 13 key health indicators through multiple ML algorithms to provide accurate risk assessments with confidence scores.
3 ML Models: Logistic Regression, Random Forest, K-Nearest Neighbors
Interactive Web App: User-friendly Streamlit interface for predictions
Batch Processing: Upload CSV files for multiple patient analysis
Smart Analytics: Real-time predictions with confidence percentages
PDF Reports: Generate detailed medical assessment reports
Data Visualization: Comprehensive charts and model performance metrics
Python | scikit-learn | Streamlit | Pandas | NumPy | Matplotlib | Seaborn | Plotly
Dataset: UCI Heart Disease Database (303 patients, 13 features)
Best Model Accuracy: 85%+ prediction accuracy
Processing: Individual & batch patient predictions
Interface: Modern web application with intuitive design
π Source Code (Heart Disease Prediction System)Β
AgriCare is an intelligent agricultural platform built with Django that uses machine learning to help farmers detect crop diseases and make data-driven farming decisions. The system combines CNN-based image recognition with weather data integration to provide comprehensive farm management solutions.
Backend: π Django (Python)
Machine Learning: π§ TensorFlow, CNN
Frontend: π¨ HTML, CSS, JavaScript, Bootstrap
Database: ποΈ SQLite
APIs: π€οΈ Weather API integration
π¬ Disease Detection: AI-powered plant disease identification from leaf images
π€οΈ Weather Integration: Real-time weather-based farming recommendations
π Crop Dashboard: Visual interface for monitoring crop health and schedules
π± Farm Management: Complete crop lifecycle tracking and optimization
β Successfully trained CNN model for accurate disease detection
β Integrated multiple APIs into cohesive Django application
β Created farmer-friendly interface for complex agricultural data
β Built scalable system for multiple crop types
π Source Code (AgriCare - AI-Powered Agricultural Management System)
ποΈ Windows System Tool - Advanced System Management Utility
Windows System Tool is a comprehensive system management application built with C# and WPF that provides users with advanced system monitoring, optimization, and maintenance capabilities. This powerful utility combines multiple system management functions into a single, user-friendly interface for enhanced Windows system performance and monitoring.
Primary Language: π C# (.NET Framework)
UI Framework: π¨ WPF (Windows Presentation Foundation)
Architecture: ποΈ MVVM Pattern
System APIs: βοΈ Windows Management Instrumentation (WMI)
Database: ποΈ Local file-based storage
Development Environment: π οΈ Visual Studio
π System Monitoring: Real-time CPU, memory, and disk usage tracking
π§Ή System Cleanup: Automated temporary file cleanup and registry optimization
π§ Performance Tuning: System optimization tools and startup management
π Resource Analytics: Detailed system performance reports and statistics
π‘οΈ Security Tools: System vulnerability scanning and security recommendations
β‘ Process Management: Advanced task manager with detailed process information
β Successfully implemented real-time system monitoring using WMI
β Built intuitive WPF interface following MVVM design principles
β Integrated multiple Windows APIs for comprehensive system access
β Created efficient data visualization for system performance metrics
β Developed automated system maintenance and optimization routines
π Source Code (Windows System Tool - Advanced System Management Utility)
A small project on one of the biggest problems in Bangladesh. Gas and fire-related accidents have become a very big problem in Bangladesh. Recently many accidents have occurred related to this problem. Our project aims to save people from this problem.Β
A small project on Rain Detector. Where it can detect rainwater whenever it comes in contact. As for the changing climate, it is a convenient tool in agriculture.