2025 11 25 flex fitness v1
--
Next step is to identify- Gym equipment status.
We use the image from camera feed, use the VLM to detect the equipment and identify - 1. Available- green color 2. In - use - red color
This will help to find usage metrics, without needing to connect to equipment server.
https://github.com/dwani-ai/workshop/blob/main/workshop_demo.py
Use the tabs approach.
On one tab, show the exercise details.
On the second tab, Show the gym information and calendar.
Age , validity and created date , should be hidden. It should not be displayed . We use them internally for calculation
Add the steps in readme file.
How to run the server and client.
What ports to use.
--'
Next step ,
Provide info about Gym facilities and equipment.
Also add a calendar, which loads Info from a json . It should display planned activities for the month.
Update the code to load data from json file.
Data should have two table.
User table and exercise table.
Exercise table will have Date , User_id and exercise type.
User table will have I'd, user name, age, validity, created_date The endpoints for week/months/year should calculate value and then display info.
--'
Use gradio and create 3 tables. Which show top active members for week, month and year.
Add a table for active streaks , How many people are coming continously.
Make the tables vertical, One below the other.
It should look like a competition board, rather than a tracking system
Now make the change to load table from api.
Create a fastapi program with 3 end points - top5-week, top5-month, top5-year and return the values in json format