Introduction: Bad sitting posture habits cause health issues such as headaches or discomfort in the back and can lead to expensive medical expenditure for correction or cure. Objective: This study proposes a system that can identify a person sitting posture to aid them in practicing good postural habit. Methods: The system, built using a Convolutional Neural Network, provides sitting posture feedback based on photographs taken via a developed mobile application. Result: Upon analysis of the dataset, it was found that many factors can influence and adversely affect the results. Examples include a curved back chair may indicate good sitting posture, or perhaps an extremely thick coat may affect the labelled person sitting posture in the image. Conclusion: Although inaccuracies may be introduced by the shape of clothes and accessories, the tool can be used as a self-improvement aid to practice good sitting posture