cd into plant-sentry/backend, and run
"python main.py"
If it doesn't work, make you you install the requirements
pip install -r requirements.txt
Once installed, rerun
"python main.py"
Open the index.html file
navigate from the homepage to the analyze page
once there open your files and find the image of your plant you need to analyze
finally click scan
wait a few seconds and read your results to see what remedies if any you need to take
To check another plant, clear and repeat steps 2-4
This is an app that will take in an image of a plant and will analyze it using AI to determine what type of disease it has
A few of our member's family members work in agriculture, so we wanted to create a solution to not knowing how to treat a crop's diseases.
Plant Sentry uses an AI api to analyze a photo of our user's crop looking for any signs of defects or disease, and explaining steps in order to remedy the situation.
We built Plant Sentry using HTML and CSS for the front end user interface combined with Python and Flask as the back end framework.
None of us have done a hackathon before or any sort of collaborative project, so going in we had no idea what to expect.
We are very proud that we got our project together and managed to get it to our goal in 24 hours.
We learned how to comprehensively use git as a team.
Our future plans for Plant Sentry will be to develop a mobile app, save images for faster results, and the ability to ask the ai for further questions after the initial results.