Hack AASF Vote Net

Abstract

1. Introduction

We propose a system that allow voters to vote remotely by visiting a VoteNet booth nearest to them.

When a voter goes in to a VoteNet booth, his Voter ID will be fetched using a Retina/Fingerprint scanner (Face Recognition for POC), which can be verified from his physical Voter ID Card, following which his data, which is securely kept on Blockchain, will be fetched from our own IPFS/IPNS node. furthermore, contesting candidates from the voter's candidates will be displayed, from which the user can cast his vote to one. The user's vote will remain anonymous and a total count of votes to that candidate will increase. The data, being on blockchain, is immutable and hence the voter's details cannot be modified or deleted.

2. Objective

A secure online voting system based on IPFS & Face Recognition.

This project demonstrates how JavaScript can be applied to a real-world Full Stack Web Development problem.

4. Technology Stack

5. System Requirements

General requirements for this technology stack — check the README for exact versions.

• Node.js (LTS) and npm
• A modern web browser
• VS Code or any code editor
• Git (to clone the repository)

6. Installation & Setup

git clone https://github.com/ojaswa1942/hackAASF-VoteNet.git
cd hackAASF-VoteNet

Full setup instructions are in the project README.

7. Future Enhancements

Suggested extensions you can add to make this your own project.

• Add role-based access control
• Deploy on a VPS or cPanel hosting with a custom domain
• Add automated tests and a CI pipeline

8. Viva / Review Questions

Common questions examiners ask for projects in this domain.

1. Explain the frontend, backend and database layers of this application.
2. How is user authentication and authorisation implemented?
3. Describe the main database tables / collections and their relationships.
4. Which REST APIs or routes are exposed and what do they return?
5. How would you deploy this application to production?

9. Source Code & License

This project is developed by ojaswa1942 and published on GitHub under the GNU General Public License v3.0. Please follow the license terms and credit the original author when you use or modify this code.