🌦 About This Project
Real-time IoT-based environmental monitoring system
💡 Updates every few seconds with live sensor data
📌 Overview
This system collects real-time environmental data using ESP8266/ESP32, processes it through a backend system, and displays it on a live dashboard for continuous monitoring.
⚙️ How It Works
- 📡 Sensors collect environmental data
- 📶 ESP sends data via WiFi
- 🧠 Flask backend processes and stores data
- 📊 Dashboard displays real-time updates
🧪 Sensors & Hardware
- 🌡 DHT11 sensor for temperature & humidity
- 🌧 Rain sensor for rainfall detection
- 🌬 Wind sensor for wind speed
- 👁 Optional visibility sensor support
🧠 Backend Logic
- 🧠 Flask backend processes incoming data
- 💾 Stores data in PostgreSQL database
- 📊 Generates analytics and statistics
- ⚠️ Triggers alerts (rain, heat, etc.)
- 📡 Detects device online/offline status
⚠️ Challenges Faced
- Unstable WiFi connections
- Sensor calibration issues
- Server downtime
- Handling missing data
⚠️ Limitations & Drawbacks
- Dependent on sensor stability
- Requires continuous internet
- Data gaps during downtime
- Limited accuracy of DHT11
- Needs stable power supply
- Basic API security
🚀 Applications
- Agriculture monitoring
- Local weather tracking
- Research & education
- Smart environment systems
🛠 Tech Stack
- Hardware: ESP8266 / ESP32
- Frontend: HTML, CSS, JS, Chart.js
- Backend: Flask (Python)
- Database: PostgreSQL
- Deployment: Render
🔮 Future Improvements
- Air quality & UV sensors
- Mobile app integration
- AI-based predictions
⚡ Developed by
Yawar Nazir & Muhammad Yaseen
GPCA WEATHER STATION
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