How to Use DeepSeek to Code a Web App for Free (Python/JS)
Indian developers are harnessing DeepSeek’s AI power to build fully functional web apps—without spending a rupee on APIs or tutorials. From Bangalore startups to Delhi freelancers, coders are deploying Python/JS apps 5x faster using plain English prompts. Here’s your blueprint to turn ideas into products, for free.
Why DeepSeek Beats Traditional Coding
- Zero Cost: Free API tier (vs. GPT-4’s ₹15,000/month minimum).
- Indian Context: Understands prompts like “Build GST calculator for Hindi users”.
- Full-Stack Ready: Generates Flask/Django backends + React frontends.
What You’ll Build
By the end, you’ll have a live task management web app with:
- Python backend (Flask) with REST API.
- React frontend with responsive UI.
- Free hosting on Vercel/Heroku.
New to AI coding? Start with our beginner’s website guide.
Step 1: Generate Backend Code with DeepSeek
Prompt to create a Flask API for tasks:
“Write Python Flask code for a task manager API with: – GET/POST endpoints for tasks – SQLite database – CORS enabled for React frontend. Include error handling and comments.”
Sample Output:
from flask import Flask, jsonify, request
from flask_cors import CORS
app = Flask(__name__)
CORS(app)
tasks = []
@app.route('/tasks', methods=['GET'])
def get_tasks():
return jsonify(tasks)
@app.route('/tasks', methods=['POST'])
def add_task():
task = request.json
tasks.append(task)
return jsonify({"message": "Task added!"}), 201
Step 2: Build the React Frontend
Prompt for a responsive UI:
“Create a React component for a task manager with: – Form to add tasks – List to view/delete tasks – Bootstrap styling. Use functional components and hooks.”
Pro Tip: Debug with DeepSeek
Paste error logs into DeepSeek for instant fixes:
“Fix this React error: ‘Cannot update unmounted component’.”
Task | Traditional Dev | With DeepSeek |
---|---|---|
Build Flask API | 4 hours | 20 minutes |
Create React Frontend | 5 hours | 30 minutes |
Case Study: Hyderabad Dev Launches SaaS in 3 Days
Freelancer Arjun Mehta used DeepSeek to build “TaskMate”, a project management tool:
- Generated 90% of Python/JS code with DeepSeek.
- Monetized on Gumroad (₹50,000+ in first month).
Metric | Without AI | With DeepSeek |
---|---|---|
Development Time | 2 months | 3 days |
Cost | ₹1,50,000 | ₹0 |
Limitations & Workarounds
- Complex Auth: DeepSeek may oversimplify OAuth. Use Firebase Auth instead.
- Database Scaling: For high traffic, switch to PostgreSQL.
Deploy Instantly (Free Options)
- Backend: Deploy Flask app on Heroku.
- Frontend: Host React on Vercel/Netlify.
- Database: Use Supabase’s free tier.
Monetization Strategies
- Sell source code on Gumroad (₹5,000-10,000/project).
- Offer customizations to local businesses.
Video: Building a Full-Stack App with DeepSeek (Live Coding Session) – Subscribe!