This repository contains a Generative AI project created using Gemini API.
It is a simple multilingual AI powered questions generator based on the news article provided.
Project is developed under the Generative AI Applications using Vertex AI course by SmartBridge in collaboration with Google.

• Inquisitive: AI Powered Multilingual Question Generator
  • Table of Contents
  • Problem Statement
  • Our Solution
    • Objective:
    • Scope:
    • Approach:
  • Implementation
  • Impact
  • Tech-Stack 💻
  • Installation
  • Links
  • Team-mates
  • Contributions
    • Contact

      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.

      Develop an AI-driven question generator for client to create relevant questions across multiple languages.

      Implement language detection, translation, and question generation using Generative models and Machine translation services.

1. User Input: User submits a news article in any language.

2. Language Detection: The app utilizes the Translation API to detect the language of the submitted content.

3. Translation to English: If the content is not in English, the app translates it into English using the Translation API.

4. Question Generation: The app calls the Gemini API to generate diverse and contextually relevant questions based on the English version of the news article.

5. Translation Back: The generated questions are translated back into the original language of the news article using the Translation API.

6. Output: The app presents the questions in the original language to the user.

   

• Website:

• Demo Input:

• Multilingual Abilities:

1. Automated Language Detection and Translation:

   • Provides automated language detection, seamless translation, and generation of contextually appropriate questions.

2. Cultural Sensitivity and Accuracy:

   • Ensures cultural sensitivity and accuracy across multiple languages.
   • Adapts to linguistic nuances and cultural contexts, enhancing the relevance and appropriateness of generated questions.

3. Streamlined Quiz Creation:

   • Streamlines the quiz creation process, making it faster and more efficient for content creators.

4. Enhanced User Engagement:

   • Enhances user engagement by providing interactive and relevant questions that resonate with a global audience.
   • Encourages users to explore news content more deeply through engaging and thought-provoking quizzes.

5. Improved Efficiency and Accuracy:

   • Reduces the workload on content creators, allowing them to focus on curating and delivering impactful news content.

• Python
• Streamlit (python)
• Langdetect (python)
• Gemini API

1. Clone Repository:

   git clone https://github.com/Bbs1412/GenAI_SB
   
   cd GenAI_SB

2. Create and activate python environment:

   python -m venv env
   
   .\env\Scripts\activate

3. Install the required libraries:

   pip install -r requirements.txt

4. Generate Gemini-API key.

5. Create a file 'api.env' in current directory and save the API-key in it:

   PALM_API_KEY="your_key"

6. Run the app:

   streamlit run app.py

1. Video demonstration of project implementation:
   Click here

1. Bhushan Songire (LinkedIn)
2. Soumya Nayak
3. Anjith Thomas Jose
4. Diya Shibu

Any contributions or suggestions are welcome!

• Email - [email protected]