DYNO AI Question Paper Solver

Overview

DYNO AI is an AI-powered tool designed to extract and solve questions from a PDF question paper. The application is built using Streamlit and leverages Google's Gemini AI to process and generate solutions.

Features

• Upload PDF Question Papers: Users can upload a PDF file containing exam questions.
• Automatic Question Extraction: The AI extracts questions from the PDF without additional text.
• AI-Powered Solutions: The extracted questions are processed, and AI-generated answers are provided.
• Java-Specific Solutions: If a question is related to Object-Oriented Programming in Java (OOPJ), the solution is generated in Java.
• Error Handling & Retries: Implements a retry mechanism to ensure stable responses.

Technologies Used

• Python: Core programming language.
• Streamlit: Front-end framework for building interactive web applications.
• Google Gemini AI: Used for both question extraction and solution generation.
• dotenv: Manages API keys securely.
• pathlib: Handles file operations.

Installation

Prerequisites

Ensure you have Python installed (>=3.8). Then, install the required dependencies:

pip install streamlit google-generativeai python-dotenv pathlib

Environment Setup

Create a .env file in the project directory and add your API keys:

SOLVER_API_KEY=your_gemini_solver_api_key
EXTRACTOR_API_KEY=your_gemini_extractor_api_key

Usage

Running the Application

Run the Streamlit app using the following command:

streamlit run app.py

How It Works

1. Upload a PDF question paper.
2. The AI extracts the questions.
3. Click "Solve Questions" to generate AI-powered solutions.
4. View and copy the answers for reference.

File Structure

├── app.py                 # Main Streamlit application
├── solver.py              # AI-based solution generator
├── extractor.py           # AI-based question extractor
├── .env                   # Environment variables (API Keys)
├── requirements.txt       # List of dependencies
└── README.md              # Project documentation

Future Improvements

• Enhance PDF text extraction for better accuracy.
• Improve AI-generated solutions with context-aware explanations.
• Add support for more programming languages.

License

This project is open-source and available for modification. Feel free to contribute!

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Developed with ❤️ by DYNO AI Team.