Hey Guys! I’ve started off a project using Machine learning and Neural networks. Its a pretty simple project with the pre-requisites being proficient in the basics of ML and DL. Feel free to join in this quest of completing the project
Project description: We are going to train a model to identify healthy plant leaves and infected plant leaves by providing a set of data for training and testing.
How will we proceed:
Gathering data: We’ll start off with collecting the data of infected plant leaves and healthy plant leaves.
I already got about 1.5 Gigs of the data but it’s unlabelled for now.
Coding part: We’ll use Python to train the model. We will be importing Sci-kit, Tensorflow libraries and it will be a pretty easy task after importing those libraries. I suggest you to refer a course in AI with Python.
Testing and training: We can divide the data we’ve collected into two sets for testing and training. We can again use Python to test and train our model.
Output: We will develop an AI model such that when we show it a leaf, it will identify whether the leaf is infected or not.
Extensions: The project that I’ve explained above is just about creating an AI model.
There are a lot of possible extensions such as developing a front end application for our AI and so many more possibilities. We can discuss them too
Any suggestions are accepted