Our entire team has immigrant parents, and have had experiences translating complicated documents for them. We decided to make an app that does the translation for them, whenever they need to.
It parses through uploaded papers, and then clearly answers any questions the user has regarding the PDF.
We used flask for our backend server, react for the frontend, and Intel VM (XEON) to access the hardware to run our AI models.
Fine-tuning the model was very difficult. On top of taking forever, after fine-tuning we noticed that a lot more work was to be done, which is difficult during a hackathon.
We are proud of learning so much about fine-tuning models and integrating intel technologies into our project. We started this project knowing nothing about the two, but emerged fourth place for the intel award in a hackathon of 800 people.
- Integrating open-source AI models using Intel Technologies
- Workflows for developing a full-stack app
- Debugging techniques used by industry professionals
We hope to implement two big features next. These include the ability for text voiceovers, and the ability to translate between languages. Doing so further the demographic we are able to help, aligning ourselves with the AggieHacks 2024 theme of social good.