DEV Community: Amir Mohammad Hemmati

created a full web-site creator codebase fully integrated via AI, Backend and front end ready to use

Amir Mohammad Hemmati — Thu, 18 Jun 2026 09:22:33 +0000

https://github.com/YoungAlpaccino/simple-website-creator-backend-ai

YoungAlpaccino / simple-website-creator-backend-ai

fully upgradedbackend with modified endpoints in order to fetch all we want for a website creator from auth till response

◆ SiteCreator — Backend

FastAPI service powering auth, projects, AI generation, and publishing.

Part of SiteCreator. This is the API only — the UI lives in ../frontend.

✨ What it does

🔐 Auth — email + password, hashed with bcrypt, JWT access tokens.
🗂️ Projects — per-user CRUD for sites (name, prompt, generated HTML).
🪄 AI generation — streams a complete landing page from a pluggable LLM provider as Server-Sent Events.
🌍 Publishing — gives each site a unique public slug at /p/{slug}.

🚀 Setup

cd backend
python -m venv .venv
# Windows:  .venv\Scripts\activate   |   macOS/Linux:  source .venv/bin/activate
pip install -r requirements.txt

cp .env.example .env          # then edit (see Configuration below)
uvicorn app.main:app --reload --port 8000

API: http://localhost:8000
Interactive docs (Swagger UI): http://localhost:8000/docs

Generate a strong SECRET_KEY:

python -c "import secrets; print(secrets.token_urlsafe(48))"

⚙️ Configuration

All settings come from environment variables (.env). See…

View on GitHub

https://github.com/YoungAlpaccino/simple-website-creator-frontend

YoungAlpaccino / simple-website-creator-frontend

FULLY FUNCTIONAL PROJECT HAPPENING TO BE RUNNING AT THIS SCALE. create web single pages by prompting to our AI.

◆ SiteCreator — Frontend

The React app: landing page, auth, dashboard, and the live AI Builder.

Part of SiteCreator. This is the UI — it talks to the FastAPI service in ../backend.

✨ Highlights

🪄 Live Builder — type a prompt, watch the generated page stream into a sandboxed <iframe> preview in real time.
✏️ Edit & regenerate — refine the prompt or hand-edit the raw HTML.
🌍 Publish flow — one click, with a copyable public link.
🔐 Auth + protected routes — JWT stored client-side, guarded dashboard.
⚡ TanStack Query — caching, mutations, and tidy server-state.

🚀 Setup

cd frontend
npm install
npm run dev          # http://localhost:5173

The dev server proxies /api and /p to the backend on :8000 (see vite.config.ts), so start the backend first and you only ever deal with one origin.

Scripts

Command	What it does
`npm run dev`	Start the Vite

…

View on GitHub

made a Python Package for LLMs prop. Hope u ENJOY IT!!!

Amir Mohammad Hemmati — Thu, 18 Jun 2026 09:20:12 +0000

pypi.org

https://pypi.org/project/llmbelt/**

Hey! I want collaborators on developing on Raspberry-PI

Amir Mohammad Hemmati — Wed, 03 Jun 2026 09:47:36 +0000

Dear AI, Embedded and real-time backend developers, Currently am working on how we could make a configurable Raspberry-PI on behalf of signal processing and AI-integrated back-end somehow that received signals would be getting stored, processed, and later on make an AI trained by the data for diagnosis of EEG/EMG signals.(brain and body healthcare)
read the project infra.
If you want to become an open-source programmer working on this project, I would be happily add you as collaborator.
by any means after visiting the project I would be happy to share the private repo so that you would know of the process.

YoungAlpaccino / EEG-EMG-signal-processing-via-Rasberry-PI

NOT A SHOWCASE THIS ONE. THIS ONE IS ONE OF MY FAVORITE WORKFLOWS CAUSE I LOVE SIGNAL PROCESSING IN HEALTH MATTERS

biosignal — EEG/EMG capture, analysis & anomaly detection

Capture biosignals from the human body/brain, clean them, find anomalies, and report a result. Built to run on your PC today (synthetic signals) and on a Raspberry Pi with a real biosignal front-end later — same code, swap the source.

ACQUIRE ──► FILTER ──► FEATURES ──► DETECT ANOMALIES ──► REPORT + PLOT
 EEG/EMG     band-pass   band power     robust z-score      verdict + PNG
 (sensor /   + notch     RMS, ZCR       on windowed RMS
  synthetic) (mains hum)

What EEG and EMG are

EEG (electroencephalography) — tiny electrical voltages from brain activity measured on the scalp. Lives at 0.5–45 Hz, split into bands (delta, theta, alpha, beta, gamma). Microvolt-scale → needs a sensitive amplifier.
EMG (electromyography) — electrical activity of muscles, measured on the skin over a muscle. Faster (20–450 Hz), larger amplitude than EEG.

Both are weak analog voltages, so they need…

View on GitHub

https://github.com/YoungAlpaccino/EEG-EMG-signal-processing-via-Rasberry-PI.git