Mobile Case Study

ConvoAI – AI Voice Call Assistant

ConvoAI is a state-of-the-art voice assistant designed specifically for Android. It bridges the gap between traditional telephony and modern AI by using OpenAI's Whisper model to transcribe calls in real-time, allowing users to interact with their calls through voice commands and intelligent summaries.

Technology Stack

AndroidWhisperSpeech RecognitionKotlinOpenAI

System Architecture

Speech Recognition

OpenAI Whisper (on-device optimization).

Mobile Framework

Kotlin-based Android application with background services.

AI Processing

Integration with LLMs for intent classification and summarization.

The Challenges

Managing audio stream latency for real-time transcription.

Balancing high-accuracy AI models with mobile battery life.

Ensuring privacy and security for sensitive call data.

The Solutions

Implemented a chunked audio processing buffer to stream data to Whisper without waiting for silence.

Used quantized model versions to reduce the computational load on the mobile CPU.

Enabled end-to-end encryption for all processed audio fragments.

Key Results & Metrics

01

Real-time speech-to-text

02

Low-latency intent detection

03

Battery-efficient processing