🌡️ AI Temperature Forecasting & Safety Alert System

An AI-powered temperature forecasting system built using Python, Machine Learning, and Flask. The system predicts future temperature values based on the last 4 temperature readings (°C) and provides visual insights, safety alerts, and risk monitoring through an interactive web dashboard 📊🚨.

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🚀 Project Overview

This project forecasts future temperature trends using historical input values and classifies conditions into:

• ✅ Normal
• ⚠️ Risk
• 🔥 High Risk

Designed for industrial safety, climate monitoring, and AI learning 🏭🌍🤖. 🔗 **Live Link--demo:** https://temperature-prediction-forecast-model-1.onrender.com

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🔑 Key Highlights

• 🌡️ Accepts 4 recent temperature readings (°C)
• 🔮 Predicts future temperature
• 🔁 Converts output to Celsius, Fahrenheit & Kelvin
• 🚨 Risk alerts (True / False)
• 📈 Trend graph & sparkline visualization
• 🧭 Safety gauge & compass
• 🖥️ Flask-based interactive dashboard
• 🧠 ML-powered forecasting

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🧠 How It Works

1. 👤 User enters 4 temperature values (°C)
2. ⚙️ Backend processes input via ML model
3. 📊 Model predicts upcoming temperature
4. 🛡️ System converts units, checks threshold & generates alerts

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📊 Safety Logic

• ⚠️ Threshold: 26.67°C (80°F)
• Predicted ≥ threshold → 🚨 Alert = True
• Else → ✅ Safe condition

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🛠️ Technologies Used

Flask

Flask-CORS

Joblib

NumPy

Pandas

Scikit-learn

XGBoost

Matplotlib

Seaborn

Pytest

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⚙️ Installation & Setup

git clone https://github.com/your-username/temperature-forecasting-ai.git
cd temperature-forecasting-ai
pip install -r requirements.txt
python app.py
  

🌐 Open in browser: http://127.0.0.1:5000/

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🧪 Sample Input

35, 36, 37, 38

📤 Sample Output

• 🌡️ Predicted Temperature: 29.77°C
• 🚨 Alert: True
• 🔥 Risk Level: High Risk

⭐ Built with ❤️ using Python, Machine Learning & Flask
Promoting AI-driven safety systems 🌍🤖