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I will develop an ai tomato plant disease detection app using flutter and python
Farhan Zafar
About this gig
I will develop an AI-based Tomato Disease Detection system using Flutter, Python, FastAPI, and Computer Vision. The solution can analyze tomato leaf images and provide an AI-generated disease prediction with confidence information.
What I can provide:
AI-powered tomato/plant disease detection
Flutter mobile application
Python AI/ML model integration
FastAPI REST API backend
Image upload and prediction functionality
Disease prediction with confidence score
Clean and user-friendly application interface
Complete integration between Flutter, API, and AI model
Tech Stack:
Flutter & Dart
Python
FastAPI
Machine Learning
Computer Vision
REST API
Workflow:
User Image Flutter App FastAPI AI Model Disease Prediction Result
Whether you need a complete application, AI model integration, or a Python/FastAPI backend, I can help turn your idea into a functional AI solution.
Please contact me before placing an order so we can discuss your requirements.
Get to know Farhan Zafar
Farhan Zafar
Flutter Developer
- FromPakistan
- Member sinceApr 2025
Languages
English, Urdu
Hi, I'm Farhan Zafar, a Data Science student and Flutter Developer with hands-on experience in Artificial Intelligence and Machine Learning.
I build cross-platform mobile applications using Flutter and Dart, and I also work on AI/ML solutions involving data analysis, dataset preparation, model training, deep learning, computer vision, and image classification.
I have practical experience working with Python, TensorFlow, PyTorch, YOLO, OpenCV, Firebase, FastAPI, REST APIs, Kaggle, Roboflow, and Git/GitHub.
My Portfolio
FAQ
Q1. Can you develop a tomato disease detection app?
Yes. I can develop an AI-powered tomato disease detection application using Flutter, Python, FastAPI, and Computer Vision.
Q2. Can you integrate an AI model into my Flutter app?
Yes. I can integrate your trained AI/ML model with a Flutter application through a Python/FastAPI REST API.
Q3. Can you use my own dataset or AI model?
Yes. If you provide your dataset or trained model, I can integrate it into the application and configure the prediction workflow according to your requirements.
Q4. Will the app provide disease prediction results?
Yes. The application can send the selected leaf image to the AI backend and display the model's prediction and confidence information.
Q5. Can you develop the backend API separately?
Yes. I can develop or integrate a Python FastAPI backend that connects your mobile application with the AI model.
Q6. Can you customize the application?
Yes. The UI, features, API integration, and prediction workflow can be customized according to your project requirements.
Q7. What technologies do you use?
I primarily work with Flutter, Dart, Python, FastAPI, Machine Learning, Computer Vision, and REST APIs.
Q8. Should I contact you before ordering?
Yes, please contact me first and share your requirements. This helps me understand your project and recommend the most suitable package.
