Cast Based Hate Crime Analysis : https://youtu.be/lsQQ1MkNCSw
Description: Guides government organizations take strict actions against crime based on a dynamic Streamlit application.
Caste-Based Hate Crime Analysis Overview Caste-based Hate Crimes remain a critical societal issue that demands attention and analysis. This project aims to explore trends, patterns, and insights into caste-based hate crimes using data analytics. By leveraging Python, Streamlit, and Jupyter Notebook, this project provides a comprehensive and interactive approach to understanding these crimes, enabling policymakers, researchers, and the public to address this pressing issue effectively.
Features Data Cleaning and Preparation:
Processed raw data to handle inconsistencies, missing values, and formatting issues. Organized datasets for accurate and meaningful analysis. Exploratory Data Analysis (EDA):
Identified key metrics like crime frequency, regional distribution, and time trends. Highlighted relationships between various factors influencing caste-based crimes. Interactive Dashboard (Streamlit):
Users can explore data dynamically with filters like crime type, location, and time period. Visualizations of crime statistics using charts and graphs for better insights. Insights and Reporting:
Generated actionable insights for reducing caste-based hate crimes. Provided statistical summaries to guide policymaking and awareness campaigns. Technologies Used Python: For data processing, analysis, and visualization.
Libraries: Pandas, NumPy, Matplotlib, Seaborn. Streamlit: For creating an interactive web-based dashboard to present insights.
Jupyter Notebook: For conducting exploratory data analysis (EDA) and prototyping.
Data Visualization:
Dynamic graphs and charts to simplify complex datasets. Highlight trends and patterns in caste-based crimes. Installation and Setup Clone the Repository:
bash Copy code git clone https://github.com/your-repo/caste-based-hate-crime-analysis.git cd caste-based-hate-crime-analysis Install Dependencies: Use the following command to install the required libraries:
bash Copy code pip install -r requirements.txt Run the Streamlit App:
bash Copy code streamlit run app.py Dataset:
Place the dataset in the data/ folder. Ensure the file path is correctly mentioned in the scripts. Project Structure plaintext Copy code 📂 caste-based-hate-crime-analysis/ ├── 📂 data/ # Contains the dataset ├── 📂 notebooks/ # Jupyter Notebooks for EDA and modeling ├── 📂 scripts/ # Python scripts for data preprocessing and analysis ├── 📂 streamlit_app/ # Streamlit app files ├── README.md # Project description and usage guide ├── requirements.txt # Dependencies for the project └── LICENSE # License information Key Insights Caste-based crimes exhibit distinct patterns based on location, time, and socio-economic factors. Certain regions are more prone to these crimes, indicating the need for focused interventions. Recommendations for policy changes are based on observed trends. Contributions Contributions are welcome!
Please follow these steps:
Fork this repository. Create a branch for your feature/bug fix. Submit a pull request with a detailed description.