🧬 Multiple Disease Prediction System – Python Project

An AI-powered diagnostic system that predicts multiple diseases such as Diabetes, Heart Disease, and Parkinson’s using user input and machine learning models. A practical tool for early detection and medical research.

🏥 Project Highlights
• Predicts multiple diseases from health metrics
• User-friendly input interface
• Logistic Regression, Random Forest & SVM models
• Built using Python, Streamlit, Pandas, Sklearn
• Valuable for healthcare & ML learning

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📊 Life Expectancy Prediction – Data Science Project

A powerful predictive model that estimates life expectancy based on various socio-economic and health-related factors. This project is ideal for those exploring data-driven healthcare and policy analytics.

🧠 Key Highlights
• Predicts life expectancy using regression models
• Analyzes features like GDP, BMI, immunization rates, etc.
• Data preprocessing, EDA & model evaluation included
• Developed using Python, Pandas, Matplotlib, Sklearn
• Great for data science portfolios and academic use

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⚡ Energy Consumption Prediction – Data Science Project

A smart analytics solution that forecasts future energy consumption using historical usage patterns. Ideal for energy management systems, smart grids, and sustainability-focused platforms.

📈 Project Highlights
• Time series forecasting of energy usage
• Data preprocessing & feature engineering
• Models: Linear Regression, Random Forest, etc.
• Built using Python, Pandas, Matplotlib, Scikit-learn
• Valuable for energy analytics and smart infrastructure

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☀️ Solar Energy Radiation Prediction – Data Science Project

A renewable energy forecasting solution that predicts solar radiation levels using machine learning. Perfect for researchers, developers, and smart energy planners aiming to optimize solar power utilization.

🔍 Project Highlights
• Predicts solar radiation based on weather metrics
• Involves regression models & time series analysis
• Includes data visualization & performance metrics
• Built using Python, Pandas, Matplotlib, Sklearn
• Supports smart energy system development

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