Inspiration
The spark for Aether came from a late-night session of reading Solo Leveling and a long-standing obsession with powerlifting. As an 18-year-old training for 2.5 years, I realized that while standard fitness apps are great for tracking reps, they lack "soul." I wanted to create a bridge between the cold, hard numbers of a 170kg deadlift and the high-octane thrill of an RPG status window. I wanted my friends to feel that same "Awakening" I felt when hitting a new PR.
What it does
Aether is a physical capability ranking platform that acts as an "Architect’s System." It takes a user's raw athletic data, Squat, Bench, Deadlift, and various sprint/stamina times, and converts them into a 0–1000 Mana Score. Based on global athletic percentiles, it assigns the user a Hunter Rank (from E to SSS) and a specific Class (like Assassin or Tank) based on their attribute distribution. It even features a combat simulator that calculates survival probabilities against animals, historical legends, and anime characters.
How we built it
The core engine is built with Python, utilizing NumPy and Pandas for the heavy mathematical lifting of normalizing diverse athletic feats into a singular mana scale. For the "Strength Vessel," I implemented the DOTS coefficient to ensure fair ranking regardless of body weight. The UI was designed to mirror the Solo Leveling aesthetic, using dynamic color logic, electric blue for male profiles and neon pink for female profiles to keep the experience immersive.
Challenges we ran into
The biggest technical hurdle was the Multi-Domain Scaling Problem. It is mathematically difficult to compare an 11.7s 100m sprint to a 100kg Bench Press in a way that feels balanced. I had to build custom synthetic "gates" and normalization formulas to ensure that an elite runner and an elite lifter both felt appropriately powerful within the system. Additionally, implementing real-time audio triggers for that "System Ding" in a web environment required some creative JavaScript injection.
Accomplishments that we're proud of
I’m incredibly proud of the Chronos Projection engine. It doesn't just tell you how strong you are today; it uses your age and training history to graph your Max Potential, showing you the "S-Rank" version of yourself you could become. Seeing the system accurately identify me as an A-Rank Assassin based on my 11.7s 100m sprint was a "eureka" moment where the data and the lore finally clicked.
What we learned
Building Aether taught me that data visualization is about more than just charts it’s about storytelling. I learned how to handle complex time-based inputs (HH:MM:SS) and how to use technical analysis concepts, like those used in trading, to evaluate physical trends. Most importantly, I learned how to gamify "effort" in a way that provides genuine motivation.
What's next for Aether
The next step is a Global Guild System, allowing users to form teams and compete in "Gate Raids" (group workout challenges). I also plan to integrate computer vision to allow the system to "scan" a lift via camera to verify PRs automatically. The goal is to make Aether the definitive interface for anyone looking to transcend their human limits.
Built With
- aether
- algorithm
- chronos
- combat
- dots
- engine
- excel
- javascript
- matplotlib
- numpy
- openpyxl
- pandas
- projection
- python
- seaborn
- streamlit


Log in or sign up for Devpost to join the conversation.