• The COVID-19 pandemic brought a complex array of challenges which had mental health repercussions for everyone, including children and adolescents.
• Grief, fear, uncertainty, social isolation, and parental fatigue have negatively affected the mental health of children.
• Fun and entertainment was in sheer need to overcome the stress and monotonicity during the Covid period.

It is a platform that enables users to have virtual gaming experience, from the comfort of their own home.

• Augmented reality (AR-Buddy) is a socially interactive model which resides in a real-world environment
• It superimposes a pre-created playful environment on top of a user’s actual environment.

• The main objective of utilizing AI in gaming is to deliver a realistic gaming experience for players to battle against each other on a virtual platform.
• In addition, AI in gaming also helps to increase the player’s interest and satisfaction over a long period of time. Here the player competes with our pre-trained ML model and is scored accordingly.

• Imported Vuforia in Unity, then an image target was provided such that Vuforia Engine can detect and track the surface on which it can superimpose the 3d character.
• The AR character can perform various actions like walk, kick and run. And the user can control its actions through various buttons.
• We added animator transitions and controlled its movement and actions using c#.
• After this, we modified each time stamp for handling the actions in order.

• We had four labels: rocks, paper, scissors, and none.
• We had used transfer learning where the squeeze net model is used. and later preprocessed it according to models input from the feed of webcam.
• The ml bubby classifies our moves according to the label and makes its own moves.
• It is a self-learning model. After each round, it learns the game in order to win.
• For detecting the user moves we extracted the region of interest within the rectangle and gave predictions to the user interface.