brazilWildfire
A Python data dashboard that collects and visualizes real Brazilian wildfire data — built while learning data analysis with Claude Code as an AI tutor.
Overview
brazilWildfire is a data-analysis project that collects real wildfire (focos de queimada) data across Brazil — broken down by biome, state, and day — processes it with Pandas, and presents it through an interactive Streamlit dashboard. The pipeline separates concerns into fetching, processing, and visualizing the data. Beyond the technical build, this project is a showcase of AI-assisted learning: I used Claude Code as a data-analysis tutor and pair, learning the domain and the tooling as I built, which reflects how I approach Applied AI — using AI not just as a feature but as a force multiplier for my own growth.
Key highlights
- End-to-end data pipeline: fetch → process (Pandas) → interactive Streamlit dashboard
- Real Brazilian wildfire data segmented by biome, state, and day
- Built with Claude Code as an AI data-analysis tutor — a concrete example of AI-assisted development and self-directed learning