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Cover image for ROAMIQ.
Rajee Yeleti
Rajee Yeleti

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ROAMIQ.

This is a submission for the Hacktoberfest Open-Source AI Challenge Week 1: Touch Grass

What I Built

I built ROAMIQ using an open-weight/open-source AI model as the core intelligence. The system combines voice interaction, dynamic challenge generation, computer vision for verifying user discoveries, and a simple progress system. The AI generates different outdoor missions based on the user's activity and guides them through voice so that the screen becomes only a tool rather than the main experience.

Demo

Start Voice Mode → AI gives challenge → User walks/explores → Finds object → Camera captures it → AI verifies → Next challenge
Example:
“Find something yellow around you.”
User finds a yellow flower → takes photo → AI identifies it →
“Great! Now find a red fruit.”

Code

https://github.com/rajeeyeleti-aiml/ROAMIQ

How I Built It

I built ROAMIQ using an open-weight/open-source AI model as the core intelligence. The system combines voice interaction, dynamic challenge generation, computer vision for verifying user discoveries, and a simple progress system. The AI generates different outdoor missions based on the user's activity and guides them through voice so that the screen becomes only a tool rather than the main experience.

Why Does Open Innovation Matter?

Open AI models and open-source tools make it possible for developers to experiment, customize, and build useful experiences without depending entirely on closed systems. For ROAMIQ, openness helps us adapt the AI for real-world outdoor interactions, experiment with local or offline capabilities, and make the project easier for others to extend and improve.

My Agent Session

I have used nano images to create the image and for posting my code I used github and sometimes I have used AI to clarify some doubts

Submission Type

Here by it is a solo submission and it is my own idea and with the help of AI Some more better I improved my project

THANK YOU FOR GIVING ME A OPPORTNITY TO CREATE MY PROJECT

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