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Heared

Hear the world better

Flutter Node.js Firebase GCP Audio DSP

A mobile hearing aid app that uses advanced audio processing to help users hear conversations more clearly in challenging environments.

Overview

Heared is a hearing amplification app designed to make everyday conversations clearer. Using real-time audio processing, it enhances speech frequencies while reducing background noise.

The Problem

Many people experience mild to moderate hearing difficulties but don’t want or can’t afford traditional hearing aids. Smartphone-based solutions can fill this gap, but most existing apps are poorly designed or lack proper audio processing.

Solution

I built Heared to be:

  • Simple to use — One-tap activation with intuitive controls
  • Highly effective — Advanced DSP algorithms for speech enhancement
  • Battery efficient — Optimized for extended listening sessions
  • Privacy-first — All processing happens on-device

Technical Deep Dive

Real-Time Audio Processing

The app uses a custom audio processing pipeline built with:

  • Low-latency audio capture
  • Multi-band compression
  • Noise gate and reduction
  • Speech frequency enhancement (2-4kHz range)

Cross-Platform Architecture

Built with Flutter for iOS and Android, sharing 95% of the codebase while delivering native performance. The audio processing layer uses platform channels for low-latency access.

Backend Infrastructure

Firebase handles user preferences and analytics, while GCP Cloud Functions manage optional cloud-based audio profiles.

Key Features

  • Equalizer Presets — Optimized settings for different environments
  • Noise Reduction — AI-powered background noise suppression
  • Volume Boost — Safe amplification with limiter protection
  • Hearing Test — Built-in audiogram generator

Results

Since launch, Heared has helped thousands of users hear better in daily situations. The app maintains a 4.5+ star rating with users particularly praising its simplicity and effectiveness.

What’s Next

I’m exploring integration with AirPods Pro’s Live Listen feature and developing more sophisticated noise reduction using machine learning models.