Project Info
Inspiration
Drawing inspiration from Airbnb’s success, we developed a next-generation platform that integrates artificial intelligence to deliver a more seamless and personalized travel experience, with wellness in mind.
What it does
The application analyzes your daily behavior using pre-existing data from third-party providers to plan and book a personalized trip. It intelligently recommends the ideal duration and destination to help you decompress, recharge, and return to your routine refreshed.
How we built it
We used Google AI Studio to help us with develop the code with the the idea we had in mind.
Challenges we ran into
There was a stage when Google AI Studio couldn’t fully understand our prompts and stalled our progress. After digging into how the system handled code and external files by analyzing the code it wrote, especially image rendering, we realized it was pulling visuals from the wrong source. Once we clearly directed it to use SourceB instead of the default SourceA, the AI was finally able to execute our idea.
Accomplishments we're proud of
We are proud to have created a real, functional product that helps professionals and individuals recover from the pressures of their daily environments. Burnout culture is a growing issue, and we are honored to contribute to the mental wellness by offering a tool that truly makes a difference.
What we learned
We learned that there many AI agents out there that can assist with developing code and analyzing them. We also learned that the wifi connection at hackathons may not be the most reliable, but the vibes of all the hackers and participants were amazing.
What's next
The next step for Eden AI is to conduct live user testing to gather feedback and refine the product through further development and engineering. We look forward to bring this product to the market in the near future!
EDEN AI is an intelligent wellness platform that helps users detect burnout and discover personalized recovery getaways. Using behavioral and contextual data, like calendar activity, work hours, and lifestyle trends, the AI curates restful trips designed to restore work–life balance. Each recommendation highlights destinations focused on mindfulness, nature, or digital detox experiences, paired with dynamic pricing and wellness tags. Built with React, Firebase, and OpenAI/Gemini APIs, EDEN AI blends emotional intelligence with modern design to make well-being actionable. It’s not just a travel app, it’s an AI companion that reminds you when to pause, recharge, and rediscover balance.
By understanding your daily patterns, from work intensity to personal downtime, EDEN AI gently intervenes before burnout strikes. It learns when you’re stretched too thin and recommends restorative escapes that align with your lifestyle. Whether it’s a mountain retreat, a coastal reset, or a mindful city getaway, EDEN AI helps you recharge purposefully and return with clarity, balance, and renewed energy.
Built with the assistance of Google Gemini AI.
CalHacks 12.0 submission - Jason Low & Roy Margallo
@sdhu @harshitaarora thank you for the opportunity for us to participate in this challenge!
Analysis
View
Metric
- 9
Figures cover GitHub contributors during the hackathon window. A co-authored commit counts in full for each author, so per-member totals add up to more than the whole-team figures.
Technology
- HTMLIn code
- ReactIn code
- TypeScriptIn code
- Google GeminiClaimed
- JavaScriptClaimed
3 of 5 appear in the indexed code. 2 claimed on Devpost could not be matched to code, which may simply mean the tool leaves no trace in the repository.
AI coding agents
No AI coding agent signals were found in this repository.
Detected from committed agent config files and commit authorship. Absence of a signal is not proof an agent was unused.
Codebase size
Source size
94 KB
Source files
18
Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.
Repository
jasonsgca/CalHacks_12.0
21 files · 96 KB · @ e806275
Structure
Interface
13 files · 62%Screens, components and styles rendered to the user.
Application logic
4 files · 19%Domain rules, services and shared utilities.
Supporting
Layers are inferred from where files sit in the tree, not from reading the code. A project that names its directories unconventionally will read oddly here — open the file browser to check anything the diagram implies.
Languages
- TypeScript96%
- HTML3%
- Markdown1%
Share of indexed source by file size. Binary and vendored files are excluded.
Dependencies
package.json
npm · 7- @google/genai
- react
- react-dom
- +4 more
Declared in the repository’s manifests at the indexed commit. A declared package is not proof it is used, and runtime dependencies are listed first.
This project’s features have not been analysed yet.
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