AgroTech

Inspiration The power and capability of technology to improve the lives of farmers

What it does

It completely involves the whole process of farming and the use of machine learning to improve the yield of crops.

How we built it

We have implemented python machine learning algorithms and collected some real-world data and performed these algorithms so that it helps to improve the yield of the crops.

Challenges we ran into

We have worked on machine learning algorithms but it was really hard for us to collect specific data and refine them. The pre-processing phase of data was really hard.

Accomplishments that we're proud of

We were able to implement half the project by implementing machine learning algorithms of Multilinear regression and SVR. And Building an app with half the functionalities. Building a database with Django and using a local network in sharing the data among peers to get into further processes.