I will build an ai powered web app with machine learning model and flask backend

I will build a complete AI and machine learning web application, from model training to a live usable interface.

What you get:

- Machine learning model trained on your data or public datasets

- Flask REST API serving model predictions

- Clean web interface to interact with the model

- Model evaluation metrics (accuracy, ROC-AUC, confusion matrix)

- Deployed and shareable URL

- Source code with documentation

Models and techniques I work with:

- Classification: Random Forest, Logistic Regression, SVM, Decision Trees

- Regression: Linear Regression, Ridge, Lasso

- Computer Vision: Object detection with YOLOv8, image classification with EfficientNet

- Data handling: SMOTE for imbalanced data, preprocessing pipelines, feature engineering

My proven work:

- Credit Card Default Prediction: Random Forest, 30000 records, 83% accuracy, 0.91 ROC-AUC

- Hybrid Object Detection System: YOLOv8 and EfficientNet-B0, 85% accuracy, 43 FPS

What I need from you:

- Your dataset or description of the problem

- What prediction or decision the app should make

- Any specific model preference or I will recommend the best fit

Message me before ordering. I will review your data and give you an honest asses