About the Project
Inspiration
We were inspired by the growing demand for better internet performance and the opportunity to merge AI and AR to empower users with actionable connectivity insights. Our goal was to simplify network optimization and troubleshooting with interactive and intelligent tools.
What We Learned
- AR Development: Using ARKit to visualize heatmaps and signal zones dynamically.
- AI Integration: Leveraging SambaNova API for personalized recommendations and chatbot functionality.
- Backend Design: Building a scalable Flask API for AR, input-based recommendations, and chatbot features.
- Collaboration: Tackling real-time challenges in a fast-paced hackathon environment.
How We Built It
- Frontend: React Native for user interactions and dynamic visualizations.
- Backend: Flask API to process user inputs, AR data, and integrate SambaNova.
- AR: ARKit for real-time signal heatmaps and zone visualization.
- AI: SambaNova API for product recommendations and troubleshooting chatbot.
- Data: Analyzed user profiles and product catalogs to tailor solutions.
Challenges
- Rendering accurate heatmaps in AR while accounting for real-world obstructions.
- Fine-tuning AI prompts for relevant and concise responses.
- Integrating multiple data sources with a tight deadline.
What’s Next?
- Enhanced AR for better signal predictions and interactive extender placement.
- AI chatbot improvements with more detailed troubleshooting.
- Real-world testing for further optimization.
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