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Bbs1412 / repository
This repo contains a Generative AI project created in python. It is a multilingual AI powered questions generator based on any text paragraphs or the news article provided.
Inquisitive Generative-AI Powered Multilingual Quiz GeneratorThis repository contains the content of Inquisitive: generative artificial intelligence powered quiz generator.
Our client, NewsSphere, is a leading news organization dedicated to expanding its global reach and enhancing audience engagement. With a vast amount of content published daily in multiple languages, the organization faces the considerable challenge of manually creating quizzes and assessments for each article. This process is not only time-consuming but also prone to inconsistencies across different languages and cultural contexts.
User Input: User submits a topic or news article in any language.
Quiz Customizations: User can customize the quiz based on number of questions, difficulty level and requirement of hints.
Paragraph Generation: In cases where the user inputs a topic instead of a large text, a paragraph is first provided for user comprehension.
Language Detection: The app utilizes the Translation API to detect the language of the submitted content.
Translation to English: If the content is not in English, the app translates it into English using the Translation API.
Question Generation: The app calls the Gemini API to generate diverse and contextually relevant questions based on the input.
Translation Back: The generated questions are translated back into the original language of the news article using the Translation API.
Output: The app presents the questions in the original language to the user in interactive format.
Quiz: User can now answer the various types of the questions generated like MCQ, Multiple Correct, Numerical type and True / False.
Evaluation: Once quiz is submitted ✅, submissions are checked for correctness.
Result: Results are calculated and displayed on the page.
Analysis: All the questions and answers can be analyzed in provided result analysis section.
Visit the deployed project on Streamlit Community Cloud:
Video demonstration of project implementation:
Clone the repository:
git clone https://github.com/Bbs1412/Inquisitive_GenAI_quiz
cd Inquisitive_GenAI_quiz
Create and activate python environment:
python -m venv env
.\env\Scripts\activate
Install the required libraries:
pip install -r requirements.txt
Generate Gemini-API key:
You need a Gemini API key to generate the content using Google's GenAI.
Create a file '.env' in current directory and save the API-key in it:
API="your_key"
Add API key in '.streamlit/secrets.toml' file as:
API="your_key"
Run the app:
streamlit run app.py
generate_para(), set the model you want to use for paragraph generation.start_question_engine(), set the model you want to use for question generation.Any contributions to this repo or suggestions are welcome!
Selected from shared topics, language and repository description—not editorial ratings.
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