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Team NAMI | Histify

Team Name

Table of Contents

Dependencies

You'll need a Gemini account, and a Replicate (replicate.com) account.

Setup

Check it out here

pip install -r Chat with Us.txt
pip install --upgrade replicate
streamlit run app.py

Project Description

An educational platform uses AI to convert textbook content into narrative-driven visual presentations, aiding accessibility and engagement for students, especially those with dyslexia and ADHD.

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Summarize

  • Utilizes Gemini to comprehensively analyze educational textbooks.
  • Extracts key points, formulas, and dates, condensing each subtopic into concise summaries.
  • Presents summarized content using text, markdowns, and tables, enhancing accessibility and understanding for students.

Story Time

  • Utilizes cutting-edge stable diffusion technology, meticulously fine-tuned on summarized educational data.
  • Generates story-like presentations combining images and text from the summarized content.
  • Transforms dense textbook material into engaging and fun stories, aiding comprehension and retention for children with dyslexia or ADHD.
  • Presents the content seamlessly in the form of an image carousel for a visually appealing and immersive experience.

Chat with Us

  • Utilizes Gemini technology trained on textbook content to power a user-friendly chatbot.
  • Enables students to ask questions pertaining to textbook concepts and receive accurate answers.
  • Incorporates a feature to answer questions even if they are out of the textbook context by leveraging information from the internet.

Text2Speech

  • Implements Text2Speech functionality to convert displayed information into speech, catering to various learning preferences, particularly for cognitively challenged children.
  • Offers customization options, allowing users to select accents for a personalized learning experience. -Enhances the learning process by providing audio support, accommodating diverse learning styles and preferences, including the option to choose accents.

Quiz

  • Implements a quiz feature to test students on the chapter they have just learned using interactive learning methods.
  • Utilizes multiple-choice questions (MCQs) format with point-based scoring system for each question.
  • Gamifies the self-evaluation process, encouraging students to improve their performance with each attempt and enhancing engagement in learning process.

Authors

Meghanand

Meghanand

Python | LLM | AI | Web Dev

Anirudh Kavle

Krish Katyal

Python | Stable Diffusion | LLM | Web Dev

Ishan S

Krish Katyal

Web Dev | Streamlit | React

Nithin Chowdary

Shivam Mitter

Web Dev | Gen AI | Python

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  • Python 99.5%
  • CSS 0.5%