Inspiration
My love for computing has always spanned the full spectrum. From phones and watches to cars, smart fridges, servers, and everything in between. This drove me to study systems engineering, a multidisciplinary engineering field which also introduced artificial intelligence to me. Combining knowlegde of these I built AI for the physical world.
What it does
Ziri is an AI decision engine for the physical world. It lives natively across Android-powered devices such as phones, watches, cars (Android Auto), smart fridges, and more.
It learns your habits privately on-device, then proactively helps you: Spot counterfeit or expired consumables, and identify objects with a quick camera scan. Fix everyday problems—like auto-adjusting volume in noisy environments, detecting driving fatigue, human distress, alerting low fridge inventory, or suggesting recipes from expiring items. Check, monitor and manage health of individuals. Ziri shares this with all your devices and incase of emergency feature to alert authorities be made available.
In short: Ziri knows you, as such fixes everyday problems for you. And does this with all your devices in sync .
How we built it
Ziri was built using the Gemini 3 on Google's AI studio
Challenges we ran into
API key not responding, but was solved by activating project billing. Ensuring seamless habit sync and context handover across fragmented Android hardware (from flagship phones to smart fridges) was complex. Balancing proactive features (mic/camera access) with strict on-device processing in an era of growing AI privacy concerns. We accomplish this by encrypting data and kill switches to wipe clean all user data collected periodically.
Accomplishments that we're proud of
Demo worked good, as a simulation of a crying distress baby, alerted the model to send out distress notifications to all devices.
What we learned
People deeply value an AI that feels private and embedded rather than another cloud chatbot.
What's next for Ziri
Move out from MVP and scale to unboard new clients. Add MCP functionality to interact with apps consumer uses.
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