The problem Eille For Indoor Navigation & Anti-Depression solves

This project aims to develop a real-time mobile application for indoor navigation using Wi-Fi trilateration for local positioning instead of GPS Triangulation, because of its inefficiency inside the buildings. This framework will be supported by Augmented Reality to create an intuitive navigation experience. The current existing applications for AR navigation make use of GPS, which fails to give efficient results in indoor localization systems. To tackle this problem, we devise an approach of estimation of local positioning by WiFi access points present inside the building itself. Further a Digital agent is created to Guide the user, giving this an additional effort addresses an automated device for detecting depression from acoustic features in speech. The tool is aimed at lowering the barrier of entry in seeking help for potential mental illness and supporting medical professionals' diagnoses.

Early detection and treatment of depression is essential in promoting remission, preventing relapse, and reducing the emotional burden of the disease. Current diagnoses are primarily subjective, inconsistent across professionals, and expensive for the individual who may be in dire need of help. Additionally, early signs of depression are difficult to detect and quantify. These early signs have a promising potential to be quantified by machine learning algorithms that could be implemented in a wearable artificial intelligence (AI) or home device.

Automatic Depression Detection (ADD) is a relatively nascent topic that first appeared in 2009. DepressionDetect presents a novel approach focusing on two aspects that receive scant research attention: class imbalance and data representation (feature extraction).

It can also play verbal games like “Sing along” in the English language

Challenges we ran into

1. Interfacing Voice recognition along with training gestures and fetching interfacing 3 different services was a major issue with the deployment.
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. Intergrating AWS with Unity