Inspiration
The inspiration for this project comes from trying to improve parking management systems and the availability on college campuses. This idea comes from having real experience with having struggles finding around campuses. So having this smart app that predicts availability and provides real time updates, it will help will student wellness and improve their experience.
What it does
This project is used for optimizing parking usage space on school campuses. It helps students to find quick parking spots by different lot area which gives real time information on how many spots are currently available. Information given for every lots.
- available spots (ex: 13/50)
- last update from other users
- walking distance from the lot to the campus building
- AI forecast giving a prediction of how long the lots will remain available.
Users are also eligible to make status reports on certain lots to help with data and updates the available lots with the option given:
- I Parked Here.
- Leaving soon (with a time around how people will leave)
- I Just Left.
How we built it
Database: Sqlite Languages: PHP, JavaScript, HTML, CSS The application us built using a mobile web approach where users are able to use it on their mobile devices. We used html, css and JavaScript for the front end of the app while having php and SQLite handling all the backend data and functions. For the forecast we used it based on algorithms to predict the availability while using Gemini AI.
Challenges we ran into
- Brainstorming Ideas
- File structure & Organization of the tasks
- Integrating Gemini AI
- Git conflicts.
Accomplishments that we're proud of
- Implementation of real time parking data based on user input.
- implementing AI base on recommendation and real time analytics
What we learned
What we learned throughout this project is how to implement AI into our project and getting real time analytics based on user input. We have also learned the importance of organization and planning in the beginning stages of a project.
What's next for ParkGo
- Getting real-time analytics based on past data from users to help provide users with an better forecasting insights.
- Expanding to other campuses to adapt the parking app for their students and teachers.
- Using heatmaps to integrate the amount of users around the area who could be searching for parking.
- Integration of the Google Maps API to get directions to the campus
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