A mobile application built using HTML, CSS, JavaScript, and Google API that notifies patients of nearby hospitals and the estimated time of arrival of the ambulance. It provides hospitals and ambulance drivers with critical information such as the patientβs location and enables effective GPS route management via real-time traffic information on scheduled routes.
Knowing the name and address of a hospital is helpful, but seeing it on a map with directions can be even better. This app aims to bridge that gap by providing real-time location data and navigation assistance, ensuring users can find the nearest hospital quickly and efficiently.
When someone is in an emergency or needs medical help, finding the nearest hospital quickly can be crucial.
Knowing the name and address of a hospital is helpful, but seeing it on a map with directions can be even better.
This app helps users find nearby hospitals easily. It shows a list of hospitals and their details like address, contact information, and rating, so users know where to go for immediate help. Additionally, users can filter hospitals based on their specialties, ensuring they find the right medical assistance quickly.
The app includes a map view, showing where each hospital is located. Users can see exactly where hospitals are and get directions to them, which is especially useful in unfamiliar areas. The map also highlights important landmarks and real-time traffic conditions, helping users choose the fastest route to the hospital.
GPS Enabled Tracking System: This feature allows real-time monitoring of ambulances, ensuring that their locations are always known and can be tracked efficiently.
Hospital Notifications: Patients receive notifications about nearby hospitals, helping them quickly find medical assistance when needed.
Distance and Traffic Assessment: The system evaluates the distance and current traffic conditions to determine the fastest route for ambulances, ensuring timely arrival.
Efficient Driver Management: This feature simplifies the management of ambulance drivers, making it easier to coordinate their activities and schedules.
Fork the repo: Click on the "Fork" button on the repository's GitHub page to create a copy of the repository in your GitHub account.
Clone the repo: Clone the forked repository to your local machine using the following command in your terminal:
git clone https://github.com/mansiruhil13/Bobble-AI[add your forked repo link]
git remote add upstream https://github.com/mansiruhil13/Bobble-AI[add your forked repo link]
git checkout -b <your-branch-name>
Make changes: Make the desired changes to the source code.
Add your changes: Add your changes to the staging area. Run the following command in your terminal:
git add <File1 changed> <File2 changed> ...
git commit -m "files have been changed[specify those here]"
git push origin <your-branch-name>
Open GitHub Desktop: Launch GitHub Desktop and log in to your GitHub account if you haven't already.
Clone the Repository:
Switch to the Correct Branch:
Make Changes: Make your changes to the code or files in the repository using your preferred code editor.
Commit Changes:
Push Changes to GitHub: After committing your changes, click the "Push origin" button in the top right corner of GitHub Desktop to push your changes to your forked repository on GitHub.
Create a Pull Request:
Review and Submit:
Wait for Review: Your pull request will now be available for review by the project maintainers. They may provide feedback or ask for changes before merging your pull request into the main branch of the Stackoverflow-Analysis repository.
βοΈ Support the Project If you find this project helpful, please consider giving it a star on GitHub! Your support helps to grow the project and reach more contributors.
This app is designed to be user-friendly, ensuring a seamless experience for both patients and ambulance drivers. The intuitive interface and real-time updates make it easy to navigate and use, even in high-stress situations.
Contributions are welcome! Please read the CODE_OF_CONDUCT.md for details on our code of conduct.
For any inquiries or feedback, please contact Mansi Ruhil at LinkedIN.