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Aura – Social Energy Meter

Inspiration

We track our steps, sleep, calories, and productivity, but very few tools help us understand our social energy. Some interactions leave us feeling motivated and energized, while others can be mentally exhausting. We wanted to build a tool that helps people become more aware of how their social interactions impact their well-being and daily energy levels.

What it does

Aura is an AI-powered Social Energy Meter that helps users monitor and understand their social battery. Users can log interactions, record their mood before and after conversations, and track different interaction types such as work meetings, family calls, social gatherings, and casual chats.

The platform analyzes these interactions and generates personalized insights, helping users identify patterns that affect their energy levels. Aura can highlight energy-draining situations, recognize positive social influences, and provide recommendations for maintaining a healthy social balance.

How we built it

We built Aura as a modern web application with a focus on simplicity, usability, and actionable insights. The application combines user interaction data with AI-generated analysis to provide meaningful recommendations.

Key features include:

Social interaction logging
Energy score tracking
AI-powered insights
Burnout risk detection
Personalized recovery suggestions
Interactive Energy Map visualization

Challenges we ran into

One of the biggest challenges was designing a system that converts subjective emotional experiences into measurable insights. Creating meaningful patterns from user-entered mood and interaction data required careful planning. We also focused heavily on making the visualizations intuitive and easy to understand.

Accomplishments that we're proud of

Built a complete end-to-end social energy tracking experience.
Created AI-powered insights that feel personalized and useful.
Designed an engaging Energy Map visualization.
Delivered a polished and user-friendly interface.

What we learned

This project taught us how AI can be used beyond productivity and automation. We learned how thoughtful data collection and analysis can help people better understand themselves and make healthier decisions about their social lives.