Our goal is to build a "Google Maps"-style application that guides the user around the inside of a building. Our current plan is to develop this project on a small scale for desktop, then eventually scale up to a mobile app.
We will use AI image/video processing, device location services, and pathfinding algorithms to determine where the user is currently located and what actions they should take to get to their destination.
townsonr |
AtharvaKirkole |
RSeeth947 |
leestep9 |
ProgramRush |
mwaleeed |
tegascott |
Rachel Townson | Computer Science | Senior
Atharva Kirkole | Computer Science | Freshman
Rupesh Seetharaman | Computer Science | Freshman
Stephen Lee | Data Science | Master's First Year
Skanda Vijaykumar | Computer Science | Freshman
Mohammad Waleed Bin Munir | Mechanical Engineering | Sophomore
Tega Scott-Emuakpor | Chemical Engineering | Junior
Library | How to install |
---|---|
Flask for Python | pip install flask |
EXIF | pip install exif |
GeoPy | pip install geopy |
Flutter | https://docs.flutter.dev/get-started/install |
- create a virtual environment (
python -m venv env
) - install all the required libraries to your Python virtual environment (
pip install -r requirements.txt
) - install the Flutter SDK (instructions here: https://docs.flutter.dev/get-started/install
- open up two terminals
- in the first terminal,
- navigate to the flask_app directory (
cd flask_app
) - run the main.py file (
python main.py
) - optional: open up http://127.0.0.1:8000 in your browser to see the locally-hosted website
- navigate to the flask_app directory (
- in the second terminal,
- navigate to the intra_bulding directory (
cd intra_bulding
) - run the main.dart file (
flutter run
) and select your device- to automatically run on chrome, use
flutter run -d chrome
- to automatically run on chrome, use
- navigate to the intra_bulding directory (