Published Paper Details:

The sensitive topic of 'mental health' is increasingly gaining more recognition and respect among people of all age groups. Starting from children to senior citizens, everyone needs aid that will help them keep their mental state healthy. The seemingly fast-paced world and rising competition have contributed to disturbing one's mental condition to an extent. The Coronavirus pandemic has accelerated the decline in the mental health of the majority of people. In such a condition, it becomes both - necessary and beneficial - to use the power of technology in helping people maintain a positive state of mind. With the vast range of advantages that machine learning offers, it becomes easy and effective to cater to individuals as per their choices and preferences. Machine learning is used widely in the healthcare sector because of the benefits it provides by equipping the ability to train models to perform specific tasks based on the information supplied. Similarly, machine learning can be used to help people improve their mental state by learning their favorite activities to engage in to feel better and generate recommendations for activities accordingly. In such a way, it can help uplift a person's mood by giving him a range of options for tasks to perform based on his liking. In an attempt to help people of all age groups improve their mental health, an application was developed which takes into consideration the user's likings and current mental state and recommends intervening activities to participate in.