HappyJai

In today world, many people are not living a happy life, and a portion of them even have been diagnosed as depression. Even the governmental mental health organization is always advertising their hotline, very few people noticed that they should call the hotline or look for help.

Hence, we have developed a sentimental analysis AI that can analyze users' instant messenger data and notice them whether they are living a happy life or a sad one compares to average. And to can suggest them to look for psychologist or social worker if we detected that they are too depressed.

We aim to build a happier world with our solution.

Mental illness is a global problem. More than 300 million people, 4.4% of the world’s population, suffer from depression. These alarming figures reflect the wider prevalence of mental ill-health more generally. It is estimated that mental health conditions will affect a staggering one in four people at some time in their lives.

Most of the time, people do not realize that they are the one who suffered from mental problem, understanding one's own happiness within period can definitely alert them to look for treatment before it is too late.

We aim to emphasize a message "living happily is important for everyone", people nowadays really care about physical health which many of us go to body check yearly and take different kinds of supplement. However, people really downplay the importance of mental health.

Just like the app "health" in your Iphone that track and visualize data such as walking step and heart beat, "HappyJai" track and visualize your happiness. We are targeting everyone who care about their health and will put effort to track and improve their health.

We have developed an AI that can tell the happiness value of a person by analyzing short text message.

We are thinking of row out as a plug-in of some messenger apps or as a separated app. The app will collect user daily communication data in a secure way, our AI will hence analyze and output the report with user friendly graph so that user can have a greater understanding to their mental health situation and have be more alert to it.

We are the very first few people adopting AI technology to mental health field, since nowadays it is more common for people to learn about their bio stats, this is an innovative solution to fit in the missing mental part!

Our core technology is the AI it self, we trained the AI with numerous sentimental data that allow it to give accurate response toward input data.

Nowadays, more and more people are interested in their physical data and visualizing it. Visualizing human bio data is a big trend and we can foresee that it will eventually come to mental level. Out solution is a very first version of mental stage visualization AI.

We are still in prototype stage.

Make the APP as a clinical approved app. We hope to cooperate with hospital and mental health service provider to help then to track and assess client mental health stage. So that more user will trust the output and the suggestion of the AI.

We are planing to extend the AI function from english to cantonese so it can be work in Hong Kong environment, however, cantonese is a very complex language that included a lot of slang, it will be our biggest difficulty for now.

We will work with professor in psychology and linguistic to seek method to overcome these barriers.

5 of us, we are all university students, so we work as part-time after school.

Most of our team are with computer science background and are good at coding and machine learning.

We aim to be NGO and fund raising will be our major income.

We aim to be NGO and fund raising will be our major income.

We think Solve is a very good chance of us to get feedback for our project from other professionals.

Hospital and psychologists. We hope to investigate how can our AI help out in clinical level.

We will use the prize on data collection since a good AI require huge amount of data and gathering those data is time costing and expensive.

We will use the prize on data collection since a good AI require huge amount of data and gathering those data is time costing and expensive.

We will use the prize on data collection since a good AI require huge amount of data and gathering those data is time costing and expensive.