This project performs exploratory data analysis and predictive modeling on Indian crime data to uncover patterns, detect trends, and predict the likelihood of case closure.
Includes fields like:
- Date Reported, City, Victim Age, Gender
- Crime Code & Description
- Police Deployed, Case Closed status
- Time to solve the case (Case Solving Days)
- Cities with longest/shortest case resolution times
- Which crimes take longest to solve?
- Case-solving time distribution
- Correlation of victim age and gender with closure rate
Using Random Forest Classifier to predict whether a case will be closed or not.
- Case Solving Days
- Crime Code
- Victim Age
- City
Included via Seaborn and Matplotlib:
- Histograms, bar plots, heatmaps
- Feature importance plots
Check the outputs/ folder for a polished report in PDF/HTML format.
pip install -r requirements.txt
jupyter notebook