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Sunona AI

Inspiration

Sunona AI was inspired by the vision of building an open‑source voice intelligence platform that blends backend stability with real‑world usability.
Our goal: democratize advanced voice AI without commercial SaaS barriers.

What We Learned

Scalable backend design with PostgreSQL, Redis, Docker
Reviewer‑friendly ASCII diagrams + clear documentation
Licensing as protection against misuse

How We Built It

Backend: Python + FastAPI (Dockerized)
Database: PostgreSQL (Neon/Supabase free tiers)
Cache: Redis for low‑latency responses
Deployment: Railway/Render free tiers + Cloudflare SSL

Challenges

Budget limits for production hosting
Worker crashes (Uvicorn restarts, Redis startup)
Strict page limits → concise ASCII diagrams

Example Math (LaTeX)

Inline (Latency):

[ L = \frac{t_1 + t_2 + t_3 + \dots + t_n}{n} ]

Display (Throughput):

[ T = \frac{R}{C \cdot U} ]

Where:

(T) = throughput (req/s)
(R) = total requests
(C) = CPU cores
(U) = utilization factor

Architecture (ASCII)

+-------------------+ | Client Layer | | (Web / Mobile UI) | +-------------------+ | v +-------------------+ | API Gateway | | (FastAPI / NGINX) | +-------------------+

|

| | v v +-------------------+ +-------------------+ | Voice Processing | | Auth & Security | | (STT, NLP Modules)| | (JWT, OAuth) | +-------------------+ +-------------------+ |-----------------------------------------| v +-------------------+ | Core Backend | | (Sunona Engine) | +-------------------+