Inspiration
Our inspiration was to bridge the gap between physical robotics systems and meaningful, real-time insights. While many robotics projects focus on movement or task completion alone, we wanted to go further by making sensor data immediately understandable and actionable. By integrating an Arduino-based robot with a live dashboard powered by MongoDB and ElevenLabs, we aimed to create a system that not only collects data, but also communicates performance, patterns, and potential improvements in real time.
What it does
This software integrates directly with an Arduino-based robot to continuously gather sensor data during operation. The data is transmitted, stored in a database, and visualized through a real-time dashboard for clear and efficient analysis. Users can monitor robot performance metrics such as movement behavior, sensor readings, and environmental feedback as the robot navigates the track. This enables quicker debugging, performance evaluation, and informed decision-making for future optimization.
What we used to build it
Backend
- Python
- Flask
- PyMongo
Database
- MongoDB Atlas
Frontend
- React 19
- Tailwind CSS 4
AI
- ElevenLabs API
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