Project Overview:

The Hearing Test and Aid Suggestion App is a healthcare-focused application designed to analyze a user's hearing ability through simple interactive tests and then recommend suitable hearing aids or specialist consultation based on the results. The app uses audio frequency analysis, user feedback, and data modeling to suggest the appropriate hearing support solutions.

This is an excellent project for final-year Computer Science students interested in combining healthcare, user interactivity, and smart recommendations using PHP, Java, or Node.js for backend, and HTML, CSS, Bootstrap, JavaScript for frontend.

Technologies Used:

• Frontend: HTML, CSS, Bootstrap, JavaScript

• Backend: PHP / Java / Node.js

• Database: MySQL / Firebase / MongoDB

• Audio Processing: Web Audio API or external audio libraries

• Machine Learning (Optional): For classification of hearing loss levels

Key Features:

1.  Interactive Hearing Test

• Plays a series of tones at varying frequencies (250Hz to 8000Hz) and volumes

• Users respond whether they hear the tone or not

• Tracks the hearing threshold per ear

2.  Results Analysis

• Determines the type and level of hearing loss (mild, moderate, severe)

• Displays a graphical audiogram based on user responses

• Stores results securely for future comparisons

3.  Aid Suggestion Engine

• Recommends suitable hearing aid models or types based on test results

• Classifies recommendations into categories like:

  • In-the-ear (ITE)

  • Behind-the-ear (BTE)

  • Completely-in-canal (CIC)

• Option to download or email the test report

4.  Doctor Consultation Booking (Optional)

• Allows users to book appointments with audiologists

• Can integrate a simple booking system or sync with a local hospital system