MVP Script Generator Using AI
Budget: ₹1,500 – ₹12,500 INR
Project Summary:
We’re building a simple MVP that lets users describe what automation they need (input + output), and the system auto-generates code in either Python, Excel VBA, or Alteryx, powered by OpenAI (ChatGPT).
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Core Components to Build:
1. User Interface (UI):
A basic web app (preferably using Streamlit, Flask, or Bubble) with:
Input fields:
Task description (text area)
Optional: Expected output (text or file upload option)
Dropdown to choose platform: Python / VBA / Alteryx
Submit button
2. Backend Logic:
Capture user inputs and pass them to OpenAI GPT-4 API.
Use prompt engineering to structure a query like:
"Generate a [VBA/Python/Alteryx] script to achieve this task: [user input]. Output should look like: [user's expected result]."
Receive generated code from GPT.
3. Display Output:
Show the generated code on-screen in a code block.
Option to copy code or download as .py / .vbs / .yxmd file.
If multiple platform outputs are desired, display each in separate tabs.
4. Logic Intelligence (Basic):
The system should be smart enough to:
Tell the user if their request can’t be done in a specific platform (e.g., Alteryx can’t apply a green cell fill).
Offer suggestions or fallback solutions where needed.
5. Deployment (Optional for MVP):
Host it on Streamlit Cloud, Render, or Heroku for free access and demos.
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Goal of MVP:
This is not meant to be polished or commercial yet. The goal is to prove:
Users can get automation code quickly via AI
Code is clean enough to run with minimal edits
System can handle 2–3 use cases well
We’re building a simple MVP that lets users describe what automation they need (input + output), and the system auto-generates code in either Python, Excel VBA, or Alteryx, powered by OpenAI (ChatGPT).
---
Core Components to Build:
1. User Interface (UI):
A basic web app (preferably using Streamlit, Flask, or Bubble) with:
Input fields:
Task description (text area)
Optional: Expected output (text or file upload option)
Dropdown to choose platform: Python / VBA / Alteryx
Submit button
2. Backend Logic:
Capture user inputs and pass them to OpenAI GPT-4 API.
Use prompt engineering to structure a query like:
"Generate a [VBA/Python/Alteryx] script to achieve this task: [user input]. Output should look like: [user's expected result]."
Receive generated code from GPT.
3. Display Output:
Show the generated code on-screen in a code block.
Option to copy code or download as .py / .vbs / .yxmd file.
If multiple platform outputs are desired, display each in separate tabs.
4. Logic Intelligence (Basic):
The system should be smart enough to:
Tell the user if their request can’t be done in a specific platform (e.g., Alteryx can’t apply a green cell fill).
Offer suggestions or fallback solutions where needed.
5. Deployment (Optional for MVP):
Host it on Streamlit Cloud, Render, or Heroku for free access and demos.
---
Goal of MVP:
This is not meant to be polished or commercial yet. The goal is to prove:
Users can get automation code quickly via AI
Code is clean enough to run with minimal edits
System can handle 2–3 use cases well