Enerlog

Inspiration

We realized that most productivity tools only help manage time, not energy. Many students and professionals plan their days perfectly but still end up exhausted and unfocused. After experiencing burnout ourselves, we wanted to design a system that helps people understand and optimize their physical and mental energy, not just their schedules.

What it does

EnerLog is an AI-powered personal energy manager that integrates data from sleep, nutrition, exercise, and stress to generate a real-time “energy map.” It visualizes when you’re most focused, when to rest, and predicts potential burnout. EnerLog provides actionable recommendations—like when to do creative work or take micro-breaks—so you can sustain productivity and wellbeing.

How we built it

We built EnerLog using n8n workflows connected to Gmail, Google Calendar, and Apple Health API (for mock data). We used Python (FastAPI) for backend data aggregation, OpenAI API for generating daily summaries, and React + Tailwind for a clean, minimal dashboard UI. The system combines user logs with physiological signals to generate a personalized energy score for each day.

Challenges we ran into

Integrating multiple data sources (sleep, stress, tasks) into one consistent model.

Balancing accuracy and simplicity—too much data overwhelmed users.

Handling missing or incomplete API data, especially from mock health datasets.

Designing an experience that feels supportive rather than judgmental.

Accomplishments that we're proud of

Created a fully functional prototype that visualizes personalized energy curves.

Developed an AI recommendation model that adjusts daily plans based on recovery levels.

Built a clean, responsive UI that communicates complex wellness insights in an intuitive way.

Positive early user feedback: testers reported increased self-awareness and better focus patterns.

What we learned

We learned that energy management is a more sustainable lens for productivity than time management. People don’t necessarily need to work longer—they need to understand their biological rhythms and recover intentionally. We also realized the importance of privacy, transparency, and emotional design in health-related AI tools.

What's next for EnerLog

Next, we plan to integrate real health data APIs (Apple Health, Oura, Fitbit), add AI-driven burnout prediction, and build a Pro version with personalized coaching. Our long-term goal is to evolve EnerLog into a full Energy Operating System—a platform that helps users maintain consistent energy, creativity, and mental clarity for the long run.

Built With

• openai