A Virtual Odyssey

The team explored three AI products to improve the quality of our life in everyday activities with three very different stories. 

Lost & Found

In this product, an AI-powered camera sits inside the wardrobe. It detects each garment using Machine Learning and keeps record when it was last used. Clothes can easily get lost and pushed into the dark crevices of the closet. Lost & Found makes sure they never get lost. The product is a two-part device with a screen display on the wardrobe and a camera inside. The device greets the user and starts a dialogue to aid in their wardrobe selection for the day. The user can select from three modes: New, Forgotten, and Random.

In the concept video, the user selects ‘Forgotten’ and the wardrobe opens automatically. When the user flips through the clothes, the garment that has been worn the least will ‘light up’ to draw the user’s attention. In addition, the device mentions the number of days the garment has not been worn for.

CulinARy 

This product helps people improve their cooking skills, be it for hobby purposes or professionally. The device contains a repository of food recipes from all over the world and a pico-projector for overlaying information on physical objects. 

The user selects a food recipe, the pico-projector selects the ingredients for that recipe and highlights them for the user to pick up easily. Each selection of the ingredient comes up with quick advice on how to handle the ingredient like “boil the broccoli for 15 mins”. When the food is cooking, the pico-projector on top of the stove reads the image and processes the status through an ML algorithm and overlays the cooking status on top of it. 

CulinARy is also connected to food delivery apps like Uber Eats which can display the current rating and orders for a hands-free experience for the cook. 

ARchitect

Every citizen of the neighborhood is empowered to make suggestions to the community.

ARchitect is an app solution that gives the power back to the people and encourages every person to be an architect of their own city. The citizen simply draws that suggestion on top of the camera view, such as a new lamp post, submits it and waits for community feedback. When there are enough community votes in support, the city must review the suggestion.

In the concept video, the citizen feels unsafe and worried to walk alone at night due to the lack of street lamps in her neighborhood. She submits her recommendation to ARchitect and sees that many others are also in support of the idea. These votes by the community help incentivize the government to fund allocation where it is needed the most.