This project is part of a Role Challenge focused on exploring real-world applications of Artificial Intelligence in healthcare and beyond.
The objective is to approach a research-oriented problem and simulate the kind of work expected from a Research Engineer at Origin Medical.
Artificial Intelligence is one of the most impactful technologies of this century. Some key motivations behind this project include:
AI is rapidly creating millions of job opportunities across industries like healthcare, autonomous systems, e-commerce, and telecommunications It enables extracting meaningful insights from vast amounts of data Applications range from medical imaging (MRI reconstruction) to preventive healthcare systems Offers opportunities across domains like Computer Vision and Natural Language Processing
The goal of this challenge is to:
Work on a research-driven problem statement Analyze and derive insights from data Apply AI/ML techniques to simulate real-world problem solving Understand the workflow of an AI Research Engineer
├── notebook.ipynb # Main Jupyter Notebook ├── README.md # Project documentation └── (other supporting files if any)
Due to confidentiality and ownership restrictions, the dataset used in this project cannot be shared publicly.
The data belongs to a company and is proprietary Uploading or distributing it would violate usage policies Therefore, this repository only includes the code and methodology
Replace the dataset loading section with your own data Ensure your dataset follows a similar structure as expected in the notebook
Install the required dependencies:
pip install -r requirements.txt
Or manually install:
Python 3.x Jupyter Notebook NumPy Pandas Matplotlib / Seaborn Scikit-learn / TensorFlow / PyTorch (depending on your implementation)
Clone the repository: git clone (https://github.com/ratishgurav/Origin_Medical_RC.git) Navigate to the project folder: cd repo-name Open the notebook: jupyter notebook Run all cells
Ensure you modify file paths for datasets before execution Some outputs may differ depending on the dataset used Notebook outputs may be cleared to keep the repository lightweight
This challenge is inspired by the Origin Medical Role Challenge, aimed at providing hands-on exposure to AI research workflows.