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A full-stack AI-SaaS platform built to streamline powerful AI workflows in one clean interface. Engineered with modern web technologies, it enables rapid deployment of AI-driven solutions, embracing scalability and precision. Ideal for teams and creators who want to harness the latest in AI without the heavy overhead of custom infrastructure.

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Smartly.ai

Live demo: https://smartly-ai-two.vercel.app/

A small full-stack AI utilities project composed of a client and server. This repository contains two main folders:

  • smartlyai-client/ — React + Vite front-end (UI, pages, components)
  • smartlyai-server/ — Node/Express backend (API, controllers, Cloudinary, DB config)

This readme.md provides a quick overview to run the project locally and the most important environment variables.

Quickstart (Windows / PowerShell)

  1. Client
cd "C:\Users\Desktop\Smartly.ai\smartlyai-client"
npm install
npm run dev
  1. Server
cd "C:\Users\Desktop\Smartly.ai\smartlyai-server"
npm install
# If package.json defines a start script:
npm start
# Otherwise run directly:
node server.js
  1. Environment

Create .env files in the smartlyai-client/ and smartlyai-server/ folders as needed. Typical server-side variables (example):

  • MONGODB_URI — MongoDB connection string
  • PORT — port server listens on (e.g. 5000)
  • CLOUDINARY_CLOUD_NAME — Cloudinary cloud name
  • CLOUDINARY_API_KEY — Cloudinary API key
  • CLOUDINARY_API_SECRET — Cloudinary API secret
  • JWT_SECRET — JSON Web Token secret

Client-side .env variables depend on how the front-end reads them (check smartlyai-client/.env or vite config if present).

Repo structure (high level)

  • smartlyai-client/ — React app (Vite)

    • src/ — components and pages
  • smartlyai-server/ — Express API

    • config/cloudinary.js, db.js, multer.js
    • controllers/ — request handlers
    • routes/ — route definitions

Notes

  • Live demo shown above is hosted at Vercel: https://quickai-gs.vercel.app/
  • If you want me to also add a separate remade.md (you asked about that earlier), tell me what content you want or confirm that readme.md is sufficient.
  • If you want me to commit and push to origin, confirm and I'll push (I can push to the existing HTTPS origin URL already configured in this repo).

Contributing

  1. Create a branch
  2. Make changes and run local tests
  3. Commit and open a PR

About

A full-stack AI-SaaS platform built to streamline powerful AI workflows in one clean interface. Engineered with modern web technologies, it enables rapid deployment of AI-driven solutions, embracing scalability and precision. Ideal for teams and creators who want to harness the latest in AI without the heavy overhead of custom infrastructure.

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