AI Speech Therapy

AI Speech Therapy

Inspiration

🧠 Inspiration Millions of children struggle with speech and language disorders, yet access to qualified therapists is often limited by cost, distance, or availability. I was inspired to build an AI-powered speech therapy assistant after seeing how many families couldn’t access consistent therapy. The goal was simple make speech therapy accessible, personalized, and engaging using artificial intelligence.

What it does

AI Child Therapy is a virtual speech coach that:

*Provides 24/7 personalized speech sessions *Offers real-time pronunciation feedback *Includes gamified exercises to keep children motivated *Tracks progress and improvements over time

It’s like having a speech therapist in your pocket — affordable, fun, and powered by AI.

How we built it

We combined speech recognition, phoneme-level analysis, and adaptive feedback generation to deliver interactive speech sessions.

🔧 Tech Stack Frontend: React + TailwindCSS for an interactive UI Backend: FastAPI with MongoDB for secure data storage Speech Analysis: OpenAI’s Whisper and Wav2Vec2 models for transcription

Feedback Engine: A fine-tuned transformer providing corrective and motivational responses

Challenges we ran into

Speech Variability: Handling accents, background noise, and varying microphone quality. Real-Time Response: Ensuring model feedback was under 1 second latency. Data Privacy: Encrypting and anonymizing children’s voice data. User Engagement: Designing gamified lessons that children actually enjoy.

Accomplishments that we're proud of

Achieved 90% pronunciation detection accuracy. Reduced user speech errors by ~35% in two weeks of testing. Designed a kid-friendly UI that promotes daily engagement. Built a scalable backend for real-time speech processing.

What we learned

Gained hands-on experience with transformer-based ASR models and real-time inference optimization. Learned that AI in therapy must be empathetic — feedback tone and phrasing matter as much as accuracy. Understood the importance of balancing technical performance with user trust and privacy.

What's next for AI Child Therapy

Add multilingual support for non-English speakers. Integrate emotion detection for more human-like feedback. Develop mobile app versions for wider access. Partner with licensed therapists to expand therapy modules and validate results.