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ANIRUDDHA  ADAK
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HomeWhisper: AI-Powered Smart Home Command Center Built with Bolt

WLH Challenge: Building with Bolt Submission

This is a submission for the World's Largest Hackathon Writing Challenge: Building with Bolt.


๐Ÿ  HomeWhisper โ€“ Whisper Your Home to Life

Inspiration:

Managing multiple smart devices across scattered apps felt fragmented and exhausting. We wanted a unified, intelligent control hub that responds to you โ€” your voice, your gestures, your habits.

Thus, HomeWhisper was born โ€” a futuristic, AI-powered smart home command center that listens, learns, and adapts.


๐Ÿ” Project Details

HomeWhisper is a multimodal smart home dashboard that allows you to control and automate your entire home using:

  • ๐Ÿ—ฃ๏ธ Natural Language Voice Commands (via Gemini API)
  • โœ‹ Real-time Hand Gestures (via WebRTC + Computer Vision)
  • โšก Predictive Automation (based on usage patterns)
  • ๐Ÿ“Š Energy Optimization + Security Monitoring
  • ๐Ÿ“ฑ Cross-platform, responsive design

Try it out

๐ŸŒ Live Demo: HomeWhisper

๐Ÿ’ป GitHub Repo:

HomeWhisper - Smart Home IoT Command Center

HomeWhisper Logo

๐Ÿ  Revolutionary smart home control with AI-powered voice commands, gesture recognition, and intelligent automation for the modern connected home.

โœจ Features

๐ŸŽฏ Core Functionality

  • ๐ŸŽค Natural Language Voice Control - Control any smart device using natural speech patterns powered by Gemini AI
  • ๐Ÿคฒ Advanced Gesture Recognition - Intuitive hand gesture control captured through computer vision
  • ๐Ÿ›ก๏ธ Intelligent Security Monitoring - AI-powered threat detection and pattern analysis
  • โšก Smart Energy Optimization - Automated energy management with up to 30% cost savings
  • ๐Ÿ“Š Predictive Analytics - Deep insights into usage patterns and device performance
  • ๐Ÿง  AI-Powered Automation - Self-learning routines that adapt to your lifestyle

๐Ÿš€ 18+ AI-Powered Features

๐ŸŽฏ Control & Interface

  1. Natural Language Voice Control - Context-aware voice commands
  2. Advanced Gesture Recognition - Computer vision-based hand tracking
  3. Conversational AI Assistant - Natural dialogue with your smart home
  4. Network Health Monitoring - Real-time WiFiโ€ฆ

๐Ÿš€ See demo on YouTube:

๐Ÿ‘€ See launch post on X:

โš™๏ธ How We Built It (with Bolt at the Core)

  • React 18 + TypeScript โ€” Frontend foundation with type safety
  • Tailwind CSS + Framer Motion โ€” For sleek glassmorphic UI + microinteractions
  • Gemini Flash API (via Bolt) โ€” For fast, context-aware voice command interpretation
  • Computer Vision + WebRTC โ€” Gesture recognition powered by client-side models
  • Firebase + Recharts โ€” Real-time state sync and visualization
  • Vite โ€” Lightning-fast dev server
  • Modular Design System โ€” Built for scale and component reusability

๐Ÿง  Technical Challenges & Breakthroughs

๐ŸŽ™๏ธ Challenge 1: Voice + Gesture Conflict

Problem: Integrating voice and gesture commands without triggering overlap

Breakthrough: Used state flags to manage input mode context, allowing smart fallback between modalities.

๐Ÿค– Challenge 2: Real-time AI Interpretation

Problem: Users speak differently; context matters.

Breakthrough: Gemini via Bolt let us train and test multi-turn prompts for contextual command parsing.


๐Ÿ“ฑ Challenge 3: Unified Cross-Platform UX

Problem: Mobile and desktop gesture/voice interactions needed different ergonomics.
Breakthrough: Designed responsive interaction zones + adaptive gesture thresholds per device type.


๐Ÿ› ๏ธ Sponsor Tech Integration

  • โœ… Bolt + Gemini 2.0 Flash API โ€” Natural language command engine
  • โœ… Framer Motion โ€” Smooth transitions and gesture affordances
  • โœ… WebRTC โ€” Camera feed access for client-side CV models
  • โœ… Firebase โ€” Syncing state across devices in real time
  • โœ… Recharts โ€” Live energy and usage graphs

๐Ÿ’ก Favorite Bolt Features

  • โšก Lightning-fast API Testing
  • ๐Ÿ” Secure Environment Handling for Voice Keys
  • ๐Ÿ” Prompt Tuning Playground
  • ๐Ÿ“ˆ Real-time Logs for Voice Command Accuracy Feedback

๐Ÿ† Accomplishments We're Proud Of

  • Built a multimodal UI that feels futuristic yet practical
  • Achieved real-time automation powered by AI + gestures
  • Created a modular, scalable architecture with over 18+ smart modules
  • Designed an interface that balances beauty, usability, and responsiveness

๐Ÿง  What We Learned

  • Building an AI-driven IoT interface demands precise alignment between UX, AI processing, and human intent
  • Gesture recognition is lighting-dependent and requires an onboarding flow
  • Voice UX is more than NLP โ€” itโ€™s emotional, contextual, and forgiving
  • Privacy is essential โ€” we prioritized local processing and encryption throughout

๐Ÿ”ฎ Whatโ€™s Next

  • ๐Ÿ“ถ Expand to Matter, Zigbee, and more IoT protocols
  • ๐Ÿ“ฑ Launch mobile & smartwatch apps
  • ๐Ÿง  Integrate predictive ML models for preemptive automation
  • ๐Ÿงฉ Build a community automation template marketplace
  • ๐Ÿข Begin enterprise pilots with smart real estate developers

๐Ÿ‘ฅ Team Credits:


๐Ÿ’ฌ Final Thoughts

HomeWhisper began as a whisper of an idea: what if your home understood you intuitively?

Thanks to Bolt, we brought that whisper to life with speed, precision, and possibility.

This isnโ€™t just a smart home โ€” itโ€™s a thoughtful home.


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