HackStack

Project Info

WanderWise

Devpost

This project did not submit a demo video on Devpost.

Inspiration

A few weeks prior to this hackathon, our team was struggling to plan a trip to Japan. That's when we realized how nice it would be to have a tool that plans the trip for us! So, we decided to take on the challenge to build this ourselves.

What it does

WanderWise uses an AI model to generate itineraries based on users' desired destination and timeframe. In addition to itinerary generation, WanderWise's simple and clean design makes it easy to visualize your itineraries the next time you plan to travel.

How we built it

We used React to build the frontend and Express for the backend server. We utilized MindsDB to link our real-time data stored in CockroachDB to an OpenAI model API.

Challenges we ran into

It was our first times using MindsDB and CockroachDB, so it took a while for us to get started and familiarize ourselves with the new technology. Also, integrating all different technologies caused unexpected issues.

Accomplishments we're proud of

/

What we learned

We were able to connect our MindsDB application to our CockroachDB database. With that, we were able to take advantage of the AI workflows that MindsDB offers. This is just one example the many new technologies we've learned to use while building this project.

What's next

We have several goals for our app in the future: Persist itinerary data for different users so that users can look at their previously generated itineraries Improved UI for better UX (e.g. adjustable schedules, multimodal representation for landmarks) Adjusting queries to match users' budget as well as displaying the estimated costs Share/Save/Export itineraries Calendar integration for a better curated response

Analysis

Compare with all teams

View

Metric

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

Found in codeClaimed only
  • CSSIn code
  • ExpressIn code
  • HTMLIn code
  • JavaScriptIn code
  • ReactIn code
  • OpenAIClaimed
  • PostgreSQLClaimed
  • SQLClaimed

5 of 8 appear in the indexed code. 3 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

23 KB

Source files

21

Counts recognized source files only; vendored directories, binaries and lockfiles are excluded, so this is smaller than the repository on disk.

0 stars