SmartForm Fitness utilizes small, lightweight wearable sensors placed on key points of the body, such as joints and muscle groups, to continuously monitor movements during exercise.

These sensors capture data on the angles and acceleration of limbs and transmit this information to a mobile app in real time.

The app uses machine learning algorithms trained on vast datasets of correct and incorrect exercise forms to analyze this data.

When it detects improper form, the system provides immediate corrective feedback through visual and audio cues, helping users to adjust their form during the exercise session itself.

The app can also store workout history, allowing for performance tracking and long-term form improvement insights.

SmartForm Fitness offers the precision of a personal trainer by ensuring exercise safety and effectiveness, but at a significantly lower cost.

Its portability and real-time feedback make it an accessible choice for all fitness enthusiasts, regardless of their experience level or budget.

The wearable technology is achievable with current miniaturized sensor tech and smartphone capabilities.

However, feasibility depends on refining machine learning models to accurately interpret data across diverse body types and fitness levels.

Initial costs involve R&D for sensor tech and app development but can decline with scaling.

Competitors include basic fitness trackers and apps without real-time form feedback.