I developed an AI-powered virtual health assistant called AI Blood Donation Eligibility Checker that determines whether an individual is eligible to donate blood. It takes into account various medical and personal criteria such as age, recent illnesses, weight, recent blood donations, blood pressure, blood sugar levels, and any existing diseases.

Based on this input, the model provides an eligibility result. If the person is not eligible, the assistant clearly explains the specific reason(s).

This binary classification model was developed using a dataset of 1000 entries during a one-month internship under the AI: Transformative Learning program by TechSaksham, mentored by Jay Rathod Sir. This was an individual project.

• Technologies Used: Python, Streamlit, Scikit-learn, Random Forest Classifier, Pandas, Numpy, imbalanced-learn
• Domain: Machine Learning, Binary Classification
• Duration: 1 Month

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