Prompt Optimizer

A web application that automatically improves AI prompts (for GPT, Claude, Gemini, etc.) and asks follow-up questions when the prompt is too vague.
This project was created to get hands-on experience with Vue.js and Spring Boot, while integrating the OpenAI API.

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Features

• Analyze user prompts to check if they're clear enough
• Automatically optimize prompts based on the selected model (GPT-3.5, GPT-4, Claude 3, Gemini…)
• Generate clarifying questions when needed
• View prompt history
• One‑click copy for prompts and results
• Frontend built with Next.js + Tailwind CSS
• Backend using Spring Boot (Java) + OpenAI API
• User registration and login system

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Preview

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Tech Stack

Frontend

• Next.js
• Tailwind CSS
• Axios

Backend

• Spring Boot
• OpenAI API
• PostgreSQL

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Setup & Configuration

Database (PostgreSQL)

A Docker Compose file is provided to run Postgres locally.

Start Postgres:

docker compose up -d

Default connection details:

• Host: localhost
• Port: 5432
• Database: po_db
• User: postgres
• Password: postgres

Update your Spring Boot configuration (application.yml) to match these values if needed.

Backend

1. Clone the repository:

git clone https://github.com/adrienfrsn/prompt-optimizer.git
cd prompt-optimizer/backend

2. Copy the configuration template and fill in your credentials:

cp src/main/resources/application.yml.example src/main/resources/application.yml

Then edit application.yml to include your database details (see above) and OpenAI API key.

3. Run the backend:

mvn spring-boot:run

By default, the backend runs on http://localhost:8080

Frontend

1. Go to the frontend directory:

cd ../frontendv2

2. Install dependencies:

npm install

3. Start the development server:

npm run dev

The app should be accessible at http://localhost:3000

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TODO / Upcoming Improvements

• Edit final prompt
• Execute prompt
• User settings
• Deployment