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conversational-ai-tutor's Introduction

Conversational AI Tutor👩‍🏫

Tutor

Objective

Create a Conversational AI Data Science Tutor tasked to discuss only data related topics and questions.

User Interface

The application has a clean and intuitive user interface built using Streamlit that allows users to be able to easily input their questions.

App Functionality

  • Utilized the Gemini API for GenAI tasks.
  • The application answers only data science related topics and questions.
  • Provides clear and straightforward clarifications and answers to questions.
  • When queried on topics outside data science, kindly reminds the user of its core area - data science.

This functionality is implemented in the code using system instructions as seen in the snapshot below:

Instructions

Find the complete codebase here.

Tech Stack🛠

  • Gemini API
  • Python
  • Streamlit for prototyping

Sample problems

In the snapshot below, the user has queried the assistant on a subject matter outside of its scope. The assistant has also replied as expected.

Sample 1

The user then moves on to ask a data science related question, to which the app responds accordingly. Below is a truncated output.

Sample 2

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