RESONANCE

Inspiration

The inspiration behind RESONANCE came from the rapid evolution of AI-generated media and the growing demand for realistic voice synthesis in content creation, accessibility tools, virtual assistants, podcasts, audiobooks, and conversational AI systems.

What it does

RESONANCE is an AI-powered voice generation platform that enables users to generate realistic synthetic speech from text input.

The platform supports:

20+ predefined AI voice profiles Personalized voice adaptation using uploaded audio samples Cloud-based neural text-to-speech generation Real-time audio generation workflows Secure user authentication and session management Persistent storage for generated voice outputs

How we built it

The frontend was built using:

Next.js TypeScript Tailwind CSS NextAuth

The backend architecture includes:

Node.js API routes PostgreSQL Prisma ORM

Challenges we ran into

One of the biggest challenges was handling audio preprocessing and maintaining speaker consistency across different uploaded voice samples. Audio quality varied significantly depending on the user's microphone, background noise, and recording environment.

We also faced latency issues caused by cloud-based AI inference. Generating realistic speech requires GPU processing, and optimizing response time while maintaining output quality required careful API and inference optimization.

Accomplishments that we're proud of

We are proud that RESONANCE evolved beyond a simple text-to-speech demo into a production-style AI application.

Some key accomplishments include:

Successfully deploying scalable AI inference pipelines on cloud GPU infrastructure Supporting 20+ AI voice profiles Implementing custom voice adaptation workflows Building a modern full-stack architecture with authentication and persistent storage Deploying the entire platform publicly with production-ready infrastructure Creating an end-to-end AI workflow combining frontend engineering, backend APIs, databases, and AI inference

What we learned

This project taught us a lot about:

neural text-to-speech systems cloud GPU inference scalable deployment architecture API orchestration full-stack TypeScript development database schema design authentication systems audio preprocessing workflows production debugging and optimization

What's next for RESONANCE

We plan to expand RESONANCE with several advanced features, including:

Real-time streaming voice generation Emotion-aware speech synthesis Accent and language customization AI-powered noise reduction Multi-language support Voice marketplace and sharing system Background job queues using Redis Usage analytics and billing infrastructure AI podcast and audiobook generation Multi-speaker conversational synthesis

Built With

• clerk
• cloudflare
• modal
• nextjs
• prisma
• typescript