Mohammad Ali Momin's Work | ContraWork by Mohammad Ali Momin
Mohammad Ali Momin

Mohammad Ali Momin

Mobile App Dev | AI, Real-Time & Scalable Systems

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Cover image for A structured 7-day product launch
A structured 7-day product launch system for digital creators and solopreneurs. Users define their product's audience, problem, promise, positioning, and pricing through a guided wizard. The app then generates a day-by-day launch timeline with themed phases — from Awareness on Day 1 through to Scarcity Close on Day 7. Each day provides AI-generated content (reels, captions, stories, email sequences, and CTAs) powered by Gemini through Firebase Cloud Functions. An objection library with categories like Price, Trust, Timing, and Value generates AI rebuttals. After a launch, the relaunch optimizer takes results and provides data-driven analysis for the next attempt. The app includes an AI coach chat, A/B content comparison, competitor analysis, analytics dashboards, and RevenueCat subscription management for free and Pro tiers.
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Cover image for An AI-powered interview platform that
An AI-powered interview platform that conducts real-time voice interviews with candidates. The app connects to a LiveKit WebRTC room where an AI interviewer — powered by Gemini for speech-to-text and language understanding, and Cartesia for text-to-speech — guides candidates through multiple interview phases: introduction, HR behavioral questions, a live coding round, and wrap-up. During the coding phase, candidates use an in-app code editor supporting Python, JavaScript, Java, C++, and Dart, and can share their screen for the AI to analyze their approach using Gemini Vision. The app tracks focus — if the candidate leaves the app, warnings are triggered. After the interview ends, a detailed summary is generated with scores across communication, technical ability, problem-solving, and overall readiness.
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Cover image for A family digital safety app
A family digital safety app with distinct parent and child interfaces. Parents see a dashboard with screen time analytics via pie charts, a list of installed apps with individual usage data, and quick-action controls like Pause Device and View Reports. Behind the scenes, the app uses Android Accessibility services for app blocking, a local VPN service for web content filtering, and Geolocator with Google Maps for real-time location tracking. Bedtime scheduling, call log monitoring, and SMS log access round out the monitoring features. On the child's device, a simplified interface streams Firestore rules in real time, so when a parent blocks an app or sets a bedtime, the enforcement kicks in within seconds. Firebase Cloud Messaging handles push notifications between paired devices.
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Cover image for A mobile AI assistant platform
A mobile AI assistant platform that manages structured communications from a backend agent system. The home screen displays a prioritized feed of alerts, reminders, motivational quotes, and questions — each color-coded by type and streamed in real time from Cloud Firestore. Users interact through voice (with both native Android speech recognition and OpenAI Whisper support) or text, and the app processes responses through an encrypted API layer using RSA key pairs. A webview integration provides access to the full Efforti web dashboard. The app also acts as a receiver for MCP commands dispatched from the Jarvis voice assistant, enabling cross-app task coordination through a custom content provider.
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