Plant Disease Detection via ML
Budget: ₹1,500 – ₹12,500 INR
I have a dataset of leaf images taken from various plants and crops. The goal is to leverage machine learning for detecting a broad range of potential diseases in these images.
Requirements for website:
login and signup page. login should happen through mail confirmation. and option for reset password
The app should be able to detect the disease using image capture and also with a image provided from gallery or documents.
it should detect if the object is a leaf or not
after detection it should provide remedy for the following disease
Ideal Skills and Experience:
- Proficiency in machine learning and image processing
- Experience with plant pathology or agricultural technology is a bonus
- Ability to work with a diverse dataset
- Strong expertise in Python and relevant ML libraries (like TensorFlow, Keras, or PyTorch)
- Familiarity with data augmentation techniques to enhance model training
The disease detection results should be stored in a database. The disease detection results should be stored in a SQL database. The app should include two user role levels: Admin and User. Admin role should be able to manage datasets and view detection results, while User role can upload images and run disease detections. details about disease and remedy for it The app should support multiple languages. english, kannada, hindi The user interface should be simple and minimalistic. The app should include a built-in camera functionality for capturing images directly. The disease detection model should achieve at least 90% accuracy.
Requirements for website:
login and signup page. login should happen through mail confirmation. and option for reset password
The app should be able to detect the disease using image capture and also with a image provided from gallery or documents.
it should detect if the object is a leaf or not
after detection it should provide remedy for the following disease
Ideal Skills and Experience:
- Proficiency in machine learning and image processing
- Experience with plant pathology or agricultural technology is a bonus
- Ability to work with a diverse dataset
- Strong expertise in Python and relevant ML libraries (like TensorFlow, Keras, or PyTorch)
- Familiarity with data augmentation techniques to enhance model training
The disease detection results should be stored in a database. The disease detection results should be stored in a SQL database. The app should include two user role levels: Admin and User. Admin role should be able to manage datasets and view detection results, while User role can upload images and run disease detections. details about disease and remedy for it The app should support multiple languages. english, kannada, hindi The user interface should be simple and minimalistic. The app should include a built-in camera functionality for capturing images directly. The disease detection model should achieve at least 90% accuracy.