https://github.com/manraj29/study-assistant
This assistant will generate detailed study plans based on user-provided syllabi, ensuring that students can follow structured, day-by-day roadmaps to cover their coursework efficiently.
https://github.com/manraj29/study-assistant
huggingface llama3 natural-language-processing ner nlp python study-assistant translation
Last synced: about 2 months ago
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This assistant will generate detailed study plans based on user-provided syllabi, ensuring that students can follow structured, day-by-day roadmaps to cover their coursework efficiently.
- Host: GitHub
- URL: https://github.com/manraj29/study-assistant
- Owner: Manraj29
- Created: 2024-10-29T17:41:50.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-10-29T17:58:30.000Z (7 months ago)
- Last Synced: 2025-02-09T18:17:30.896Z (4 months ago)
- Topics: huggingface, llama3, natural-language-processing, ner, nlp, python, study-assistant, translation
- Language: Jupyter Notebook
- Homepage:
- Size: 2.19 MB
- Stars: 2
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Study-Assistant
This assistant will generate detailed study plans based on user-provided syllabi, ensuring that students can follow structured, day-by-day roadmaps to cover their coursework efficiently.
Additionally, the project will offer multilingual support, translating the entire study plan and associated content into the user’s preferred language, making it accessible to a global audience. This will empower students to study more effectively and overcome language barriers in their academic journey.Google Colab link: Colab - Study Assistant
Working / Steps to install & work
- Get API Key from together.ai
- Get API from Hugging face
- Import the libraries, Load the API and execute the cells
- Select the input and output languages
- Upload PDF or provide syllabus text
Flowchart:![]()