The problem CropShield solves

Agricultural diseases in plants can have significant impacts on crop production, including reduced yields and quality of crops.
Effective management of agricultural diseases in plants requires a combination of approaches, including the use of resistant varieties, proper crop rotation and management practices, and the use of chemical controls when necessary.
It is important for farmers to stay informed about the latest research and developments in the field of plant pathology in order to effectively address and prevent agricultural diseases in their crops.

Challenges we ran into

Technical Constraints Issues: The ML model for prediction and recommendation was integrated using Django.
For hosting these microservices we needed free hosting platforms.
As no free hosting services were available, we had to host the ML model locally.
Multilingual Model Issues: For the multilingual model, we were unable to get input in the regional language.
So currently we are translating the output in the regional language using API.