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Overview: Developed a real time MCQ creator using LangChain and Google Gemini. User interface built using the Streamlit application. Backend Model: Utilized the LangChain framework and Gemini Pro model at the backend. Gemini Pro processes user input and generates responses.

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Harshita1195/RealTimeMCQGeneration

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Real Time MCQ Generation

Overview: Developed a real time MCQ creator using LangChain and Google Gemini. User interface built using the Streamlit application.

Backend Model: Utilized the LangChain framework and Gemini Pro model at the backend. Gemini Pro processes user input and generates responses.

User Interaction: Interface includes dialogue boxes for users to input Number of MCqs, Subject, Complexity Level of questions and a browse button to upload pdf or txt file.

User Interface Image 1: Represents the developed user interface, showcasing the design and layout.

Input Prompt Image 2: Depicts a user inputting their query into the dialogue box for and uploading data file.

Response Image 3: Illustrates the MCQs generated by the application based on the user's input.

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Overview: Developed a real time MCQ creator using LangChain and Google Gemini. User interface built using the Streamlit application. Backend Model: Utilized the LangChain framework and Gemini Pro model at the backend. Gemini Pro processes user input and generates responses.

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