Photograph or voice-record any item and the AI recognizes and catalogs it. Later, just ask “where are my passports?” and get a direct, natural answer.
Mobile app developer case study
GlanceKeep: Mobile App Built by Skynix
An AI-assisted photo and voice inventory app: capture what you own and keep track of it in one place.
- Platform
- iOS and Android
- Timeline
- About 3 weeks, Sep 2026
- Team
- 3 engineers
- Technology
- React Native, Expo, TypeScript, Laravel, Gemini AI
- Status
- Live
From clutter to clarity in three taps
Snap or speak to capture an item without typing or forms. The AI catalogs it with a suggested title, likely storage location and tags, and you can ask for it any time in plain language.
Instant AI recognition
Point the camera and GlanceKeep identifies what it sees: make, model, colour and category. Gemini Vision suggests a title, location and smart tags that you confirm in one tap.
Ask like you would ask a person
No filters or boolean searches. Ask “where did I put the spare charger?” and get a conversational answer with the exact location.
Offline-first and privacy-first
Everything lives on the device first, so you can search and browse without an internet connection. On-device AI processing keeps your belongings data on your phone.
How we built it
GlanceKeep was built in roughly three weeks of focused development by a team of three. The mobile app is written in React Native with Expo and TypeScript, so one codebase ships to both iOS and Android. It talks to a Laravel API, and Gemini-powered recognition turns a photo or a voice note into a catalogued item with a suggested title, location and tags.
The product landing page was designed and built alongside the app, so the story told on the website matches what ships in the store.
Key team members
Anastasiya Storozhenko
Developer
Mobile app, API
Artem Ishchenko
Back-end Developer
Mobile app, API
Oleksii Prozhoha
CEO & Owner
Landing page, product direction
