The problem Artificial Assistant - IamHere Your only Friend solves

A digital agent is developed to direct the patient, which addresses an automated system for the identification of depression from acoustic features in speech with additional effort. The goal of the instrument is to reduce the entry barrier by finding treatment for possible mental illness and promoting the diagnosis of medical professionals.

Early detection and treatment of depression is important to facilitate remission, prevent relapse, and decrease the emotional burden of the condition. Current diagnoses are mainly subjective, contradictory among practitioners, and expensive for those who need assistance urgently. Moreover, early signs of depression are difficult to recognize and assess. An automated system for detecting depression from acoustic features in speech is developed with additional effort, and a digital agent is developed to guide the patient. The purpose of the instrument is to reduce the barrier to admission by seeking care for potential mental illness and encouraging medical professionals' diagnosis.

Additionally, This project aims to develop a real-time mobile application for indoor navigation using Wi-Fi trilateration for local positioning instead of GPS triangulation due to the inefficiency of Google maps inside buildings. Augmented Reality is used to help this application in order to create an intuitive navigation experience. The most recent AR navigation apps rely on GPS,  that sometimes does not provide reliable result  in indoor localization systems. We devised a method for estimating local positioning using Wi-Fi access points located within the house to resolve this problem.

Challenges we ran into

1. Intergrating AWS with Unity
2. Writing an Algorithm for Wifi trilateration
3. integrating Firebase Firestore to create a database for nodes data with its rssi value and Coordinates.
4. Interfacing Voice recognition along with training gestures and fetching interfacing 3 different services was a major issue with the deployment.