AbhishekJunnarkar/brics-dataset-ai-analysis

This repository includes 4 AI/ML mini-projects based on the BRICS dataset (Brazil, Russia, India, China, South Africa). These projects demonstrate regression, clustering, data visualization, and interactive dashboards using Python and ML tools. # BRICS AI Analysis Projects This repository includes 4 AI/ML mini-projects based on the BRICS dataset. ## Projects Included - 01 Life Expectancy Predictor – Linear Regression model to predict life expectancy. - 02 Country Clustering – K-Means clustering of BRICS countries. - 03 Gdp Life Correlation – EDA between GDP, literacy, and life expectancy. - 04 Literacy Dashboard – Streamlit dashboard of literacy and population. --- | Project Title | Problem Statement | Dataset / Source | AI/ML Approach | Tools & Tech Stack | Key Outcome | GitHub Link | | ------------------------------------- | -------------------------------------------------------------- | ------------------- | -------------------------------------- | ---------------------------------------- | ---------------------------------------------------------- | ---------------------------------------------------------------------- | | BRICS Life Expectancy Predictor | Predict life expectancy based on GDP, literacy, and population | BRICS dataset (CSV) | Linear Regression, Feature Engineering | Python, Pandas, Scikit-learn, Matplotlib | Model predicts life expectancy with 92% R² score | *GitHub* | | BRICS Country Clustering | Group BRICS countries into similar development clusters | BRICS dataset | K-Means Clustering, PCA | Python, Seaborn, Scikit-learn | Countries grouped into 2 clusters: High vs Mid development | *GitHub* | | BRICS Literacy Dashboard | Build a dashboard to visualize literacy, GDP, and population | BRICS dataset | Data Visualization | Python, Plotly, Dash or Streamlit | Interactive dashboard for data storytelling | *GitHub* | | BRIC …