From Abandoned Prototype to AI-Powered Google Form Platform

Deepak Paswan — Thu, 28 May 2026 06:05:13 +0000

I Revived My AI-Powered Google Form Generator Using GitHub Copilot

This is a submission for the GitHub Finish-Up-A-Thon Challenge

What I Built

I revived and completed my unfinished project: AI-Powered Google Form Generator — a full-stack web application that creates real Google Forms from natural language prompts using Google Gemini AI.

The original idea started as a small experiment:

“Can AI automatically generate a complete Google Form from a simple text description?”

Initially, the project only supported basic prompt-to-form generation. It worked as a proof of concept, but the user experience was incomplete, the backend structure was messy, and several important features were missing. Eventually, I stopped working on it.

For the GitHub Finish-Up-A-Thon Challenge, I decided to revisit the project and properly finish it by transforming it from a simple AI demo into a more complete workflow platform.

The application now supports:

🔐 Google OAuth authentication
🧠 AI-powered form generation using Google Gemini
📄 PDF and DOCX document-to-form generation
🖼️ Image-to-form generation
✏️ Editable generated questions
📊 Form analytics dashboard
📂 User form management dashboard
📝 Pre-built form templates
🛡️ Secure token handling and validation
🐳 Docker-based deployment support

Tech Stack

Frontend

React 18
Vite
TailwindCSS
Redux Toolkit
Framer Motion
Recharts + D3.js

Backend

Node.js
Express.js
Google Gemini API
Google Forms API
Supabase PostgreSQL
Zod validation
JWT Authentication

GitHub Repository

https://github.com/dpkpaswan/AI-powered-Google-Form-Generator

Demo

🎥 Video Walkthrough

https://youtu.be/b_d_2QhdoRU

Application Workflow

Sign in using Google OAuth
Enter a natural language prompt
AI generates structured form questions
Edit or improve generated questions
Publish directly to Google Forms
Manage forms and view analytics

Example Prompt

“Create a college symposium registration form with participant details, department selection, workshop preferences, and feedback questions.”

Screenshots

Repository

https://github.com/dpkpaswan/AI-powered-Google-Form-Generator

The Comeback Story

When I first started this project, it was mainly a proof of concept focused on AI-generated forms.

The original version had multiple issues:

Weak UI and UX
No form management system
No analytics support
Limited backend structure
Minimal validation
No document parsing
No templates
No deployment setup
Difficult-to-maintain codebase

Over time, I kept adding ideas without properly finishing the core workflow. The project slowly became harder to maintain and eventually got abandoned.

For this challenge, I focused less on adding random new features and more on improving usability, architecture, reliability, and overall product quality.

Major improvements I made during the revival process:

Rebuilt the backend using controllers/services architecture
Added secure Google OAuth integration
Integrated Supabase for persistent storage
Added PDF and DOCX parsing support
Added image-based form generation
Added editable forms workflow
Built analytics dashboards using charts
Improved validation and error handling
Added reusable templates
Added Docker deployment support
Improved overall frontend design and responsiveness

One important lesson from this process was:

Finishing and polishing a project is much harder than starting one.

The biggest improvements were not flashy AI features — they were stability, usability, and better system structure.

My Experience with GitHub Copilot

GitHub Copilot helped me significantly during the rebuilding and cleanup process.

I mainly used Copilot for:

Refactoring backend services
Creating API boilerplate
Improving Express routes and middleware
Writing reusable utility functions
Generating validation schemas
Improving React component structure
Debugging async logic
Speeding up repetitive frontend tasks
Improving documentation

One of the most useful parts was backend refactoring. The earlier version had tightly coupled logic, and Copilot helped accelerate the process of separating business logic into cleaner service layers.

I also used Copilot while improving UI components and simplifying repetitive coding tasks during frontend cleanup.

Instead of treating Copilot as a replacement for development, I used it as a productivity tool to speed up implementation and refactoring while still making the technical decisions manually.

Challenges Faced

Some of the biggest technical challenges were:

Managing Google OAuth token handling securely
Integrating the Google Forms API reliably
Structuring AI-generated question formats consistently
Parsing uploaded documents correctly
Maintaining clean architecture while expanding features
Handling async workflows between AI generation and Google APIs

I also realized that overengineering can easily destroy project momentum. At one point, I was adding too many ideas without stabilizing the core product experience.

This challenge helped me focus on actually finishing the application.

Final Thoughts

This challenge pushed me to revisit an abandoned project and finally complete it properly.

The biggest takeaway for me was:

A polished and usable product matters more than endlessly adding features.

There are still future improvements I want to make, but this challenge helped me transform an unfinished prototype into a much more stable and production-ready application.

Thanks for reading!
This is a submission for the GitHub Finish-Up-A-Thon Challenge

DEV Community: Deepak Paswan

From Abandoned Prototype to AI-Powered Google Form Platform

I Revived My AI-Powered Google Form Generator Using GitHub Copilot

What I Built

Tech Stack

Frontend

Backend

GitHub Repository

Demo

🎥 Video Walkthrough

Application Workflow

Example Prompt

Screenshots

Repository

The Comeback Story

My Experience with GitHub Copilot

Challenges Faced

Final Thoughts

What I Built

Demo

The Comeback Story

My Experience with GitHub Copilot