A medical condition recognition ML app using Yolov8 and Kaggle Data, hosted on streamlit
Utilized the streamlit framework to create a web app that allows users to detect medical conditons using the YOLOv8 image classfication and recognition models. The model was trained on a public Kaggle API.
Check it out!Technologies used: Python, Anaconda, ML Concepts
Data analysis and statistical/machine learning predictions
Analyzed a dataset to predict user activity with a variety of tools
Check it out!Technologies used: Jupyter Notebook, Pandas, Numpy, Seaborn, Sci-kit Learn
A fullstack project to represent an item shop
Developed a simulation that displays select front end objects that interact with backend APIs and a cloud database
Check it out!Technologies used: MongoDB, Express.js, React.js, Node.js