C.L.A.S.S (Child Labor Automated Surveillance System) is a software solution designed to report instances of child labor. This system aims to help combat child labor by providing an automated way to identify and report cases to the relevant authorities.
- Automated detection of child labor instances
- User-friendly interface for reporting cases
- Secure data handling and storage
- Real-time notifications to authorities
- Analytical tools for data visualization and reporting
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Geolocation: Integrates Folium for visualizing reported incidents on a map.
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Web Scraping: Uses Selenium for gathering additional information from various sources on the web.
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Database: Stores and manages reported cases and related data.
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Web Application: Provides a user-friendly interface accessible via web browsers.
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Python: Programming language used for backend processing and machine learning models.
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Django: Python web framework for building the application backend.
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JavaScript/HTML/CSS: Frontend technologies for user interface development.
To install and run C.L.A.S.S on your local machine, follow these steps:
- Clone the repository
git clone https://github.com/ak517ayakshay/C.L.A.S.S.git
This project is developed in collaboration with the Indian Institute of Science (IISc). We acknowledge the support and resources provided by IISC bengaluru.
This project is part of a research paper submitted to IIT Kharagpur. The paper details the methodology, implementation, and impact of the C.L.A.S.S system in combating child labor