Massive Blockchain Voting System - Anomaly Detection with AutoML

Massive Blockchain Voting System v1.0.0 This release corresponds to the preliminary application developed as part of the undergraduate thesis: "Anomaly Detection and Prevention in Massive Voting Data through AutoML Algorithms over Blockchain Networks: Methods and Preliminary Applications" Faculty of Sciences, National Autonomous University of Mexico (UNAM) System Overview Django REST backend with JWT authentication, digital signature and document storage Massive data streaming via Apache Kafka Vue.js frontend replicating the UNAM Faculty of Sciences voting system Massive POST stress test: UNAM Rector election 2023 simulation Blockchain network proposal for Mexico with Solidity proof-of-concept script LSTM-based anomaly detection model for electoral data Tech Stack Backend: Django, Django REST Framework, Apache Kafka Frontend: Vue.js, Axios Smart Contracts: Solidity (proof of concept) Deep Learning: LSTM / RNN Auth: JWT, cryptographic digital signature Notes This is a preliminary academic implementation. The Solidity script and blockchain network proposal are conceptual and not deployed on any live network. Full source code and documentation available in this repository.