PaperPal
Machine Learning
Mentors :
Vishruth N
Abhinav Raghuvanshi (200040008)
Mentees :
5-6
PaperPal will be an an innovative tool that aims to simplify research paper reading by leveraging the power of GPT 3.5's API to provide users with concise summaries and insightful answers to their follow-up questions.
PreReqs:
Pre-requisites:
Strong coding skills and ability to write clean code
Knowledge of software development principles and practices
Familiarity with Git and version control
Understanding of natural language processing (NLP) is a plus
Good-to-have skills:
Experience with web development frameworks such as Flask or Django
Knowledge of cloud platforms such as AWS or GCP
Familiarity with front-end development technologies such as React or Angular
Tentative Timeline :
| Week Number | Tasks to be Completed |
|---|---|
| Week 1 | Set up project repository on GitHub, finalize the project plan, and start building the frontend wireframes. |
| Week 2 | Begin working on the backend infrastructure, including setting up the database and API endpoints. |
| Week 3 | mplement MathPix's OCR for processing PDFs and integrating it with the backend infrastructure |
| Week 4 | Develop the summarization feature using the GPT 3.5 Turbo API and integrate it with the backend. |
| Week 5 | Work on the question-answering feature using the GPT 3.5 Turbo API and integrate it with the backend. |
| Week 6 | Develop the user interface for the frontend, including integrating the OCR and summarization features. |
| Week 7 | Continue working on the frontend user interface and integrate the question-answering feature. |
| Week 8 | Begin user testing and gather feedback to improve the user experience. |
