This web application enables the user to book a sporting venue of their choice, which are recommended based on the safety guidelines published by the Government. This application also provides a feature of monitoring the correctness while performing an exercise routine at home itself.
Use the npm registry to install all the required NodeJs libraries to run this project.
npm installTo install python to the system, refer this link - Python
To install anaconda to the system, refer this link - Anaconda
Open Anaconda Prompt and type the command (to make a new virtual environment).
conda create -n ENVNAMETo activate the new virtual environment.
conda activate ENVNAMENow one should download the necessary libraries (in this virtual environment) as follows:
conda install opencvconda install -c blaze sqlite3Since, the project has been executed in Windows, the following link would be helpful to provide guidance on installing 'face_recognition' library in Windows systems - Youtube video
The following link is from where remote SQLite database browser can be downloaded - SQLite
Data of different grounds must be filled into the GROUNDS table of the database and the time slots should be mentioned in the TIMESLOTS table. An example of this data is as follows -
Install "Handsfree for web" google chrome extension, which would be present in the chrome extension store.
To run the project, open Anaconda prompt (and activate the virtual env in which all the python dependencies are installed) and go to the root directory of the project (within the conda virtual environment setup for the project), and type
nodemon server.jsThe application takes atleast 3 min to start. Along with that, open the 'Handsfree for Web" extension, which is installed in the Chrome browser. Once the message in the console prints "App started on port 3000", in the URL section of the browser, type http://localhost:3000/
Home Page
Sign Up Page
Login Page
Landing Page
Venues to book (Recommendations)
Select Date
Home Workout Pose Correction