The problem Agrolenders solves

Crop destruction and disease transmission by insects have a remarkable impact on the human economy and health. Nearly 20% of the annual crop production is destroyed by insects and pests every year. Even after the development of insecticides and pesticides, the problem of crop damage still exists due to the unavailability of early detection of the diseases caught by the plant. As a result of which the entire crop harvest is spoiled that further leads to crop destruction. Poor farmers expect that their harvest makes enough money to pay back their loans and make enough money to cater to the day-to-day needs of their families, but this situation of natural crises further worsens their economical condition and renders them even more helpless.

Challenges we ran into

•Faced Difficulties in Deploying
•Faced difficulties in hosting the flask web application due to the huge amount of slug size
•Faced Internal Error in making Napbars
•Faced Issues at in finding alternative packages so as to reduce the slug size
•Frustated at Time of Deployment , several Path errors and several code errors
•Faced Diffilculty in finding a appropriate Data-set with large number of images
•As a newbie to Machine learning domain it is very difficult to work with huge number of funtions and libraries.
•As we had initially used a a sequential model and then a VGG19 architure so most of the common inbuilt functions are not working , we have encounterd with number of errors , So finding new functions and there respective libraries is quite a troublesome.