Inspiration
FarmVitals was developed as a preliminary diagnostic tool to help farmers quickly detect diseases in their crops and animals. Since I couldn't find any project that offered health detection for both plants and animals, I wanted to create an all-in-one solution. This tool provides early-stage insights, giving farmers useful information before seeking a more detailed evaluation from experts.
What it does
FarmVitals uses CNN models to analyze images of leaves, chicken feces, detecting diseases and helping farmers manage health issues at an early stage.
How I built it
FarmVitals was built using Kaggle datasets to train CNN models for disease detection. I developed the models, while my teammate created the user interface using Tkinter, allowing users to upload images and get diagnoses easily.
Challenges I ran into
Balancing model accuracy with speed was a challenge, especially given the variety of data types. I also struggled to find a high-quality dataset for chicken feces, as suitable images for this specific need were not readily available.
What's next for FarmVitals
I want to add more disease checkers, improve accuracy, and make it mobile-friendly for easier use in the field.
Log in or sign up for Devpost to join the conversation.