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https://github.com/struckchure/green-sentinel


https://github.com/struckchure/green-sentinel

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README

        

# Green Sentinel

## Overview

Green Sentinel is a cutting-edge election monitoring and digital voting system designed to ensure transparency, security, and fairness in electoral processes. By leveraging AI-driven verification, real-time monitoring, and government-backed voter authentication, Green Sentinel provides a robust and verifiable alternative to traditional voting systems.

With growing concerns over electoral fraud—such as underage voting, ballot box theft, and vote manipulation—Green Sentinel introduces a secure, data-driven approach to maintaining electoral integrity.

## Key Features

- **Voter ID Verification**: Ensures that only registered voters participate by cross-checking identities with official government databases.
- **AI-Based Age Verification**: Uses facial analysis models to verify that voters meet the legal age requirement.
- **Liveliness Detection**: Prevents deepfake and pre-recorded video manipulations by verifying real-time presence.
- **Secure Digital Voting**: Allows users to cast their votes digitally with end-to-end encryption.
- **Real-Time Election Updates**: Provides live tracking of election results, ensuring transparency and accountability.

## Problem Statement

Electoral malpractices—such as underage voting, ballot box theft, and result manipulation—have long plagued democratic elections. Existing electoral bodies often struggle with credibility issues due to delayed and inconsistent result announcements. Green Sentinel aims to bridge this gap by offering a system that provides real-time, verifiable, and auditable election processes.

## Goals

1. **Verify Voter Identity**: Authenticate voter IDs using government databases to prevent fraud.
2. **Ensure Age Compliance**: Use AI models to confirm that voters meet the legal voting age.
3. **Enhance Security**: Implement liveliness detection to prevent fraudulent voting via pre-recorded videos.
4. **Enable Digital Voting**: Allow voters to securely cast their ballots for any candidate.
5. **Increase Transparency**: Deliver real-time election result updates that are cleaner and more verifiable than traditional electoral body results.

## How It Works

1. **Voter Registration**: Users verify their identity by linking their voter ID with official databases.
2. **Pre-Voting Verification**: AI models analyze facial features for age verification and liveliness detection.
3. **Casting Votes**: Voters securely select their candidate using an encrypted digital platform.
4. **Result Computation**: Votes are counted in real-time, eliminating the risk of post-election result manipulation.
5. **Public Result Display**: Election data is transparently presented for verification by stakeholders.

## Benefits

- **Eliminates Electoral Fraud**: No more underage voting or fake voter IDs.
- **Fast & Efficient**: Real-time election monitoring reduces delays in result announcements.
- **Increased Trust in Elections**: Transparent processes reduce disputes and improve credibility.
- **Secure & Tamper-Proof**: Advanced encryption and AI models prevent vote manipulation.

## Conclusion

Green Sentinel is not just a voting system; it is a movement towards fair, transparent, and credible elections. By integrating AI-driven verification, digital voting, and real-time result tracking, it offers a solution to some of the most pressing electoral challenges today.

With Green Sentinel, every vote counts—and every vote is counted fairly.