Rice Leaf Disease Detection Dashboard Fix
Budget: ₹600 – ₹1,500 INR
I have developed a rice leaf disease detection dashboard using the YOLO algorithm and Streamlit. However, I am encountering some functionality errors that need to be addressed. The most affected aspect of the performance is resource usage, which suggests that the dashboard may not be optimized for efficient performance.
In addition to fixing the bugs, I would also like some improvements to the UI. The layout design, navigation flow, and visual elements all need some work to enhance the user experience.
Ideal skills for this project include:
- Proficiency in Python and Streamlit
- Experience with the YOLO algorithm
- Strong understanding of UI/UX design principles
- Ability to optimize software for performance and resource usage.
In addition to fixing the bugs, I would also like some improvements to the UI. The layout design, navigation flow, and visual elements all need some work to enhance the user experience.
Ideal skills for this project include:
- Proficiency in Python and Streamlit
- Experience with the YOLO algorithm
- Strong understanding of UI/UX design principles
- Ability to optimize software for performance and resource usage.