Inspiration

According to the UN between 720 million and 811 million people in the world faced hunger in 2020, around one in 10. This was exacerbated by the pandemic and the Ukraine invasion. To mitigate the consequences there is need for farmers across the world to build resilient systems and practice modern farming methods.

It uses Microsoft cognitive services to detect language of query and to translate results to that language from the default english.

How we built it

Pytorch for the model.

Azure for PostgresSQL to store user queries.

Azure container apps to deploy the app.

Challenges we ran into

Deploying the application

Accomplishments that we're proud of

Collecting the journals and building a useful search app.

What we learned

Azure Cloud Services

What's next for Agriculture app

Adding more agricultural data to help farmers stay up to date with relevant information.

Built With

• python
• streamlit