Inspiration
We created this application to help the elderly and the people who cannot understand english well. We wanted to make it easier for them to know what their length financial documents were talking about, without them getting too confused trying to read it.
What it does
The plan was to take in financial documents, like tax docs, as pdfs. Our web application would utilize Azure services like OpenAI to help summarize the documents for people, as well as provide text to speech or translations in case they were unable to read it.
How we built it
For frontend, we wanted to use React for a cool design. Our backend was implemented with python. We used many Microsoft Azure tools, like Speechify Text to Speech, Blob Storage, Translator, and AI Document Intelligence. To link the frontend and backend together, we attempted to use the framework Flask.
Challenges we ran into
We hit the free limit on OpenAI models so we couldn't implement the summerization features like we wanted. Another challenge was simply using React, Flask, and Microsoft Azure tools. This is our first time using these tools together, so we struggled trying to implement and linking them together.
Accomplishments that we're proud of
A win for us was getting a file into Blob Storage for the first time. We didn't know anything about React or Azure, so this was really exciting for us.
What we learned
We got to learn how to use React, Flask, and Microsoft Azure tools.
What's next for Simplifile
We have thought about a chatbot implementation within the web so users can ask it questions about the document or other actions.
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