EffiSTEM is a versatile and effective educational companion that harnesses the power of Large Language Models (LLMs) and STOTA STEM OCR Mathpix to deliver top-notch answers tailored to your lecture notes and YouTube playlists.

EffiSTEM empowers users to personalize their learning experience, enabling the Large Language Model to adapt its explanations in a manner that suits the individual learner. We've observed that when a user specifies their interests, such as hobbies, the LLM leverages this information to explain complex technical concepts using language and analogies that resonate with the student. Users can also select a YouTube playlist and upload their own notes for a STEM subject, providing the LLM with access to relevant content aligned with their interests.

EffiSTEM is your go-to companion for effective studying, whether you're preparing for an upcoming exam or seeking to learn independently. It's ready to assist you anytime, anywhere, even in the absence of an instructor.

In our project, we utilized React.js for the Front-End and Flask for the Back-End development. To enhance the functionality and features of our system, we integrated various APIs, including Google's Speech to Text API, MathPix for state-of-the-art STEM OCR, and LangChain for the efficient development and deployment of Large Language Models. We also employed instruction fine-tuning as a strategy to mitigate model hallucinations and improve the accuracy of the system.

• React: A JavaScript library for building user interfaces.
• React Router: For client-side routing within the application.
• Axios: Used to make HTTP requests to the Flask back-end and external APIs.
• Material-UI: A UI framework for creating responsive and visually appealing designs.
• Redux (optional): For managing complex state if needed.
• JWT-Decode: Used for handling JSON Web Tokens for user authentication.
• [Google Cloud Speech-to-Text API Client Library]: If you're using Google's Speech to Text API.
• [MathPix API Client Library]: For integrating MathPix for STEM OCR.
• [LangChain API Client Library]: For integrating LangChain's LLM development services.

To install these dependencies, navigate to the frontend directory and run:

npm install

## Help

Any advise for common problems or issues.

command to run if program contains helper info

Contributors names and contact info

Yeshwanth Vemula Victor Samsonov Julen Ferro

This project is licensed under the EffiSTEM License.