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Data Analytics

CrimAnalytics

Data analytics platform for crime pattern analysis.

A Streamlit-based data analytics platform that automates criminal data processing and clustering to identify crime patterns.

  • Python
  • Streamlit
  • Data Analytics
  • Machine Learning
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01

Problem & Solution

Manual crime data analysis is time-consuming and often misses patterns that could help prevention efforts.

Automated Processing

Automated data cleaning and preprocessing.

Pattern Recognition

Clustering algorithms for crime pattern analysis.

Interactive Dashboard

Visualizations for data exploration.

02

Project Facts

Role
Data Analytics & Python Developer
Duration
3 months
Team
2 members
Platform
Web Application
03Key Features

What I Built

Highlight features that deliver value to users.

  1. 01

    Data Upload

    Import crime data from various formats.

  2. 02

    Clustering Analysis

    K-means and hierarchical clustering.

  3. 03

    Visualization

    Charts, maps, and statistical summaries.

  4. 04

    Export Reports

    Download analysis results.

04Tech Stack

Tools & Technologies

Technologies used to build this solution.

  • Python
  • Streamlit
  • Pandas
  • Scikit-learn
  • Plotly
  • NumPy
05Process

Development Process

  1. 01

    Data collection and understanding crime data structure.

  2. 02

    Built data preprocessing pipeline.

  3. 03

    Implemented clustering algorithms.

  4. 04

    Created interactive Streamlit dashboard.

  5. 05

    Validation and testing with real datasets.

06Impact

Results & Impact

  • Pattern recognition accuracy improved by ~30-40%.
  • Analysis time reduced from hours to minutes.
  • Actionable insights for crime prevention.
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