Project Overview
The Challenge: Providing Peruvian citizens, journalists, and analysts with an objective, data-driven system to understand the evolving landscape of the 2026 Presidential Elections.
My Role: Lead Data Scientist, Architect, Developer.
Our Case Studies
Content coming soon!
Case Study: Peruvian Political Score System (2026)
Solution & Approach
Data Collection: Aggregated data from diverse sources including social media APIs, news outlets, public statements by candidates, and publicly available polling data, always prioritizing ethical considerations and data privacy.
AI & Methodology:
- Utilized Google's Natural Language AI for sentiment analysis of public discourse and media coverage.
- Developed custom models on Vertex AI for candidate issue tracking, influence network analysis, and predictive trend identification.
- Integrated Gemini for summarizing complex news narratives, generating candidate profiles based on diverse data inputs, and potentially for Q&A features about electoral data.
- Employed statistical modeling for score aggregation and robust uncertainty quantification.
Conceptual mockup of the Political Score System dashboard.
Technology Stack
Fb
Firebase
Chosen for its real-time database capabilities, scalable serverless backend, and easy hosting for the web application interface.
AI
Google AI (Vertex AI, Natural Language API)
Essential for sophisticated NLP tasks, custom model training, and leveraging pre-trained models for speed and accuracy.
Gm
Gemini
Its advanced reasoning and multimodal capabilities are being explored for deeper analysis, content generation (e.g., summaries), and enhancing user interaction with the data.
CR
Cloud Run
Selected for deploying the AI models and backend services as scalable, containerized applications, ensuring high availability and cost-efficiency.
NLM
NotebookLM
Used extensively during the research and development phase for organizing sources, synthesizing information, and rapidly iterating on analytical approaches.
Key Features & Functionality
Real-time Sentiment Scores
Track public sentiment towards candidates and parties, updated continuously.
Election Topic Trend Analysis
Identify and analyze emerging key topics and discussions relevant to the election.
Candidate Comparison Dashboards
Compare candidates across various metrics, stances, and public perception.
Media Bias Detection (Exploratory)
Analyzing media coverage patterns to identify potential biases in reporting.
Impact & Future Potential
- Aims to foster a more informed electorate and transparent political discourse in Peru.
- The underlying architecture and AI techniques are highly transferable to business applications like market sentiment analysis, brand management, and competitive intelligence.
- Potential for expansion to other regions or electoral contexts.
(A public demo version is planned for future release)