Aim: Prediciton of injuries and the severity of injury for people who met in road accidents.
Theme:
The severity of injury is based on various factors, such as
- damages of collided vehicles(If the damage of collided vehicles are more, the injury would be serious)
- vehicle hit to a person (if vehicle hits directly to a person)
- Light Conditions(If its a full light condition, person would try to escape, if not he wont be able to escape and would stand over there and vehicle would hit straight)
- Age of person (If age is less, slight injuries would have occur, else serious)
- few more.
Domain: Machinelearning(classification Model), Health-care.
Coding: Python
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EDA: pandas, numpy
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Visualizations: seaborn, matplotlib
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Metrics: scikit-learn
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Deployment : Streamlit
Source: https://www.kaggle.com/code/poojatelavane/road-traffic-accident-severity-prediction
Streamlit Deployment: https://kishkath-rtadata-streamlit-app-1pgk83.streamlit.app/
Course: https://themlco.com/Academy/mgp/