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Proactive AI-powered smart climate control that intercepts extreme weather shifts before they impact your room.

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Hushaar AI 🌡️🤖

An AI-powered smart climate control dashboard that predicts temperature changes and automatically adjusts indoor cooling for improved comfort and energy efficiency.

🚀 Live Demo

See the smart dashboard in action here: 🔗 Launch Hushaar AI Live Dashboard

✨ Features

  • Real-time indoor temperature monitoring
  • Live outdoor weather integration
  • Humidity tracking
  • 24-hour temperature forecasting
  • AI-based heatwave prediction engine
  • Automatic pre-cooling system
  • MQTT-based device communication
  • ESP32 IoT integration (Conceptual architecture)
  • Smart target temperature control
  • Dashboard for monitoring and automation

📊 Dashboard Overview

  • Indoor Temperature Monitoring
  • Outdoor Weather Data
  • Humidity Analysis
  • System Status Tracking
  • Prediction Engine Logs
  • MQTT Live Feed
  • Device Control Panel
  • AI Cooling Recommendations

🛠️ Technologies Used

  • Frontend Framework: Vite + React / TypeScript
  • UI & Styling: Tailwind CSS + shadcn/ui
  • IoT Protocol: MQTT Protocol (Climai standard architecture)
  • APIs: OpenWeatherMap API
  • Design Tools: Figma

⚙️ How It Works

  1. Weather data is fetched from the OpenWeatherMap API.
  2. The prediction engine analyzes outdoor temperature trends.
  3. Heatwave conditions are detected in advance.
  4. Pre-cooling commands are queued for the ESP32 device via MQTT.
  5. The air conditioning system simulates automatic adjustment.
  6. Indoor conditions are continuously monitored and optimized.

📡 MQTT Topics

Topic Purpose
climai/forecast Weather forecast data
climai/predict Heatwave prediction
climai/cmd/ac AC control commands
climai/esp32/ack Device acknowledgment
climai/indoor Indoor sensor data
climai/outdoor Outdoor weather data

🎯 Objectives

  • Improve indoor comfort.
  • Reduce energy consumption.
  • Predict temperature changes proactively.
  • Enable intelligent climate automation.

👥 The Team

  • Varun T G (@varuntg156) - Team Lead & Frontend Developer 🚀
    • Led the project architecture, milestone tracking, and sprint timeline.
    • Co-designed the UI/UX mockups and developed the live interactive dashboard using Vite and TypeScript.
  • Pranay (@dsvgpranay-alt) - UI/UX Designer & Core Developer 🎨
    • Collaborated on product design, user workflow mapping, and dashboard interface layout within Figma.
    • Assisted in structuring frontend components and styling.
  • Theajashri - Product Strategist 💡
    • Formulated the original core concept, key automation features, and targeted use cases for the climate control platform.

🔮 Future Enhancements

  • Hardware prototyping with a real physical ESP32 module.
  • Mobile application support.
  • Voice assistant integration.
  • Full machine learning-based historical temperature pattern analysis.
  • Multi-room climate management.

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Proactive AI-powered smart climate control that intercepts extreme weather shifts before they impact your room.

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