I will build custom AI detection, prediction model using ML/dl & computer vision

I will build custom AI detection and prediction models using Machine Learning, Deep Learning, and Computer Vision based on your dataset and project requirements. This service is suitable for plant disease detection, object detection, image classification, brain tumor detection prototypes, heart disease prediction, defect detection, risk prediction, and other custom AI tasks.

I can train, test, and evaluate models, then create a simple website, web app, API, or desktop interface where users can upload images or data and receive clear prediction results.

My deliverables can include data preprocessing, model training, feature engineering, accuracy evaluation, confusion matrix, prediction pipeline, source code, documentation, and deployment guidance. For image-based projects, I can use CNN, transfer learning, YOLO, OpenCV, TensorFlow, Keras, or PyTorch. For tabular prediction, I can use Random Forest, SVM, Logistic Regression, XGBoost, or neural networks.

My process includes reviewing your dataset, selecting the right algorithm, training the model, testing results, improving performance, and building a usable interface. I can also add charts, result pages, and package instructions so the delivered system is easier to understand.

I also explain model limitations, accuracy, and next improvement steps. Medical-related projects are provided only for research, educational, or decision-support purposes, not as final diagnosis tools.