The problem FitGPT solves

Working out incorrectly can be harmful to our health. It can be either due to going too fast, exercising for too long, or simply doing too much of one type of activity, which can strain the muscles and lead to an overuse injury. Technique errors. Improper technique can also take its toll on our bodies.

The Problem with Common Workout Mistakes :

Many people exercise improperly, leading to injuries.

Common mistakes include going too fast, exercising for too long, or doing too much of one type of activity.

Technique errors are also a concern, since improper form can strain muscles and lead to injury.

Our Solution:
We aim to create an application where the user can capture a video of themselves doing various types of exercises and then our machine learning model can analyse the data with our pre existing training data set and correct/ advice the user on the correctness of their body movements. Our basic idea is to make an ML model which can analyse and detect the faults of the user while performing exercise, we aim to achieve this by training our ML model with an appropriate dataset which has all the exercise body movement performed by professionals

Challenges we ran into

The process of gathering datasets from multiple sources and sorting them out took a lot of time. Although gathering the data set was a manual procedure, we believe that preparing the data to extract the crucial features for the ML model will be the most difficult.