InnoChat is an AI-powered application that makes use of Natural Language Processing (NLP), Deep Learning and Big Data to provide accurate and immediate diagnosis and fun treatment for children suffering from speech sound disorders wherein patients have difficulties in articulation and phonology.
In the first phase, our app will do a diagnosis test with the child with the help of AI and a pronunciation database, which is the phase that we would like to focus on right now. The next step is to provide personalised and interactive speech therapy through gamification.
We hope children with speech sound disorders, especially underprivileged ones, can benefit from the easy, accessible and affordable speech diagnosis and therapy services provided by InnoChat. We believe InnoChat is the solution to assist speech therapists in delivering more efficient services, and to ensure that every child who struggles with pronunciation can get the timely diagnosis and effective therapy that they need.
Team information
Project leader: Cheung So Yee, BSc
Team member(s): Chan Lee Yan; Chu Wing Hang; Dixit Tratik; Zou Xiang
Recruit teammates
Currently, we are building a prototype for the application and are looking for teammates who can help us carry this project forward.
Technical Team: Students who can help in programming and testing the diagnosis algorithm Tasks: App development, NLP and ML algorithm development for speech sound disorder diagnosis, Database Testing Majors: Computer Science, Information Systems, students experienced in app development, NLP, ML, and database development.
Consultation Team: Students who can help us improve our therapy and diagnosis methodology Tasks: Advice on speech sound disorder diagnosis approach, gamification approach, and general design targeted to children Majors: Speech and Hearing Sciences
Design Team: Students who can help us create an interactive interface for the application Tasks: Design UI/UX, design game characters Majors: Design+, students experienced in graphic designing and animation