🌊 River Intel Matrix

RiverMind is a revolutionary AI-powered environmental monitoring system that personifies a river’s condition in real time—giving it emotions, voice, and data intelligence. This project fuses environmental science with emotional AI, computer vision, and climate awareness to bring a living, breathing emotional diary of rivers to life.

🧠 Project Vision

"What if rivers could feel? What if they could speak to us about their health, pain, or joy?"

RiverMind turns this question into reality by analyzing data, detecting threats, and visualizing a river’s emotional state—offering insights into pollution, drowning incidents, ecosystem changes, and climate patterns.

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🎯 Core Features

• 🔬 Real-Time Environmental Monitoring
  Captures key stats about river health: pollution, flow speed, climate patterns, and more.

• 🎭 Emotional AI Engine
  Converts environmental data into emotional personas—visualizing the river’s “feelings” like stress, happiness, danger, or calm.

• 🆘 Drowning Detection System
  Uses OpenCV to monitor river banks or camera feeds for drowning behavior or erratic human movement.

• 🌱 Eco-Suggestions & Crisis Alerts
  Offers actionable advice to communities and sends real-time alerts during critical events like high pollution or water-level surges.

• 📈 Climate Visualization & Analytics
  Shows graphs of seasonal shifts, rainfall impact, pollution levels, and temperature trends using data visualization.

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🧰 Tech Stack

Technology	Role
Python	Core scripting language
OpenCV	Drowning detection, video processing
MediaPipe	(Optional) Enhanced human pose tracking
Streamlit	Beautiful real-time web UI
Matplotlib / Plotly	Interactive climate data visualizations
Pandas / NumPy	Data manipulation and analysis
Custom AI Logic	Emotion engine to interpret environmental signals
Flask (optional)	API backend integration

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📊 Visual Outputs 📉 Pollution level graphs

🌧️ Rainfall-vs-water-level plots

🌡️ Temperature vs river health trend lines

🎞️ Real-time frame detection of human behavior in the water

Installation

1. Clone the repository:

git clone https://github.com/yourusername/rivermind.git
cd rivermind

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install dependencies:

pip install -r requirements.txt

Running the Application

1. Start the backend server:

python main.py

2. In a separate terminal, serve the frontend:

cd frontend
python -m http.server 8000

3. Open your browser and navigate to:

• Frontend: http://localhost:8000
• Backend API: http://localhost:5000

API Endpoints

• POST /api/drowning: Upload and analyze video for drowning detection
• POST /api/emotion: Analyze emotion from text input
• GET /api/climate: Get river level and climate data
• GET /api/suggestions: Get safety and conservation suggestions

Project Structure

rivermind/
├── frontend/
│   ├── assets/
│   │   ├── css/
│   │   ├── js/
│   │   └── images/
│   ├── index.html
│   ├── monitor.html
│   ├── emotion_diary.html
│   ├── suggestions.html
│   └── climate.html
├── main.py
├── requirements.txt
└── README.md

👨‍💻 Author

Likhith Vasireddy

• GitHub: @Likhith623

🤝 Collaborate With Me!!

Want to add multilingual support, voice narration, or integrate real sensors like Arduino + pH/flow monitors? Contributions are welcome! Let’s build the future of intelligent ecosystems.