Description
Summit Seeker is a collaborative project with Alessandro Arensberg focused on making mountain exploration more accessible and actionable. We designed a streamlined platform where users can discover the most efficient way to climb a natural rock wall. To achieve this, we fine‑tuned our own YOLO-based model, PRISE, to visually detect holds and suggest optimal ways to use them.
Key Features
- Summit Discovery: Browse and search mountain spots with structured information, difficulty signals, and quick comparators.
- Trip-Oriented UX: Designed flows centered on decision making, from discovery to route planning.
- Data Enrichment: Integrated external data sources to provide richer context around each summit.
- Responsive Interface: Built a layout that remains smooth and readable on mobile and desktop.
Technologies Used
- Python : Language used to develop the entire project
- PyTorch : Training model and create our own fine tune YOLO model
- Albumentation : For data augmentation
- Git: Version control and collaboration with Alessandro Arensberg.
Roles and Contributions
I worked on product architecture, front-end implementation, and data integration patterns. In collaboration with Alessandro Arensberg, we iterated on core interactions to keep the experience both fast and useful for real trip planning.
Outcome
The project delivered a practical and elegant base product for mountain discovery, with a strong emphasis on clarity, performance, and collaborative product thinking.