AI Prativa – Backend API Deployment
Commands To Create Backend Python Project:
#1 Run The Below Command To Create The Python Project Structuremkdir my-python-api
cd my-python-api
mkdir app
mkdir app\api
mkdir app\models
mkdir app\services
mkdir app\core
mkdir app\db
New-Item app\main.py -ItemType File
New-Item app\api\routes.py -ItemType File
New-Item app\core\config.py -ItemType File
New-Item app\db\session.py -ItemType File
New-Item app\db\base.py -ItemType File
New-Item requirements.txt -ItemType File
New-Item README.md -ItemType File
my-python-api/
├── app/
│ ├── main.py
│ ├── api/
│ │ └── routes.py
│ ├── models/ # DB models (ORM)
│ ├── services/ # Business logic
│ ├── core/
│ │ └── config.py # Env variables
│ └── db/ 👈 ADD THIS
│ ├── session.py # DB connection
│ └── base.py # Base ORM setup
├── requirements.txt
└── README.md
Create A Git Repository:
Commit Code To Git Repository:
Deploy It in Render.com
Name : SmartFarmingAssistant
Project : AI Prativa
Language: Python 3
Branch: main
Region: Oregon (US West)
Root Directory: Leave EMPTY
Build Command: pip install -r requirements.txt
Start Command: uvicorn app.main:app – host 0.0.0.0 – port $PORT
