Inspiration
A need for an assistive tool to aid in researching complex events
What it does
It takes a search query as well as user-provided resources (PDFs) and complies a timeline of events based on what the user is asking
How we built it
The front end ui was made using svelte and the back end was built using langchain, openai, and bing search api, which are all used in python.
Challenges we ran into
Getting the front end inputs and the back end outputs to communication
Accomplishments that we're proud of
Potential and Success of the project
What we learned
We overall became better coders in whichever domain we focused on during the project
What's next for timeln.tech
Enhancing the results and allowing the user more control over what they get through the use of more advanced filters
Built With
- azure
- bing-search-api
- css
- css3
- firebase
- html
- javascript
- langchain
- openai
- python
- svelte
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