Anti-Theft Alarm App

💡 What Was the Idea?

The idea was to build a smart, all-in-one anti-theft solution that not only detects suspicious activity but also helps users locate their lost phones instantly using simple gestures like a clap or whistle. The vision was to create a security-focused utility that’s easy to use and packed with real-time alerts.

🧾 Client Requirements

The client requested:

• An Android-only solution with a strong feature set
• A modern UI with smooth animations
• Functionality for clap detection, whistle detection, motion alerts, charger alerts, and intruder selfie
• A delivery deadline of 10 weeks
• Target platform: Google Play Store

🗂️ Documentation & Planning

The technical and functional documentation outlined:

• UI flow and event detection logic
• Device permission handling (camera, mic, motion sensors)
• Offline functionality for alarm triggers
• App structure using Flutter
  Languages & Tools: Dart, Java (for native Android services), XML for permission declarations

🎨 UI/UX Design

Designed in Figma, the interface features:

• Minimalist design with bright alert visuals
• Toggle switches for each protection feature
• Real-time logs and alarm previews
• Smooth onboarding for first-time users
  The app is designed for non-tech-savvy users as well, focusing on ease and clarity.

⚙️ Development

Tech Stack:

• Flutter (Dart) for cross-platform codebase
• Java/Kotlin for Android-native sensors (motion, audio, etc.)
• Libraries Used:
  • permission_handler (for microphone, camera, and storage)
  • audioplayers (for alarm sounds)
  • camera (for intruder selfie)
  • sensors_plus (motion & orientation tracking)
  • battery_plus, connectivity_plus (battery and Wi-Fi monitoring)

Functional Modules Developed:

• Clap & Whistle Detection Engine
• Charger & Motion Alerts
• Intruder Detection with Auto Selfie
• Full Battery & Wi-Fi Connection Alarms
• Pocket Detection via proximity/motion sensor logic

🧪 Quality Assurance

Tested across 20+ devices including brands like Samsung, Xiaomi, OnePlus, and Vivo.

Key QA checks included:

• Mic & sound detection delays
• Background service behavior (battery-safe & Doze Mode)
• Accurate selfie trigger on wrong password
• Sensor responsiveness in real-time
  Resolved Bugs:
• False clap detections
• Alarm not working in background on Android 10+
• Battery drain during long-term use (optimized later)

📱 Publishing Platform

The app is currently live on:

• Android (Google Play Store)
  Optimized for both low-end and flagship Android devices.

⚠️ Key Challenges

• Detecting claps/whistles accurately in noisy environments
• Managing background services within Android restrictions
• Handling user privacy with intruder selfie features
• Ensuring alarms work even when screen is off or app is killed
• Balancing feature richness with battery optimization

⏳ Development Timeline

Total time: 10 weeks

• Weeks 1–2: UI/UX, App Flow, Feature Lockdown
• Weeks 3–5: Core Feature Development (detection engine, alarms)
• Weeks 6–7: UI + Background Service Integration
• Week 8: QA & Testing
• Week 9: Bug Fixing
• Week 10: Deployment & Play Store Launch

💰 Estimated Cost & Server Planning

• Server Requirements: None (offline functionality)
• Cost Optimization: No recurring cloud/server cost
• Total Development Cost: $600 – $750
• App functions offline using internal sensors and phone storage
• Optional: Firebase Analytics integration for usage tracking
• 📲 Download Now on Play Store