GHI Dashboard

• 

  Main Title Screen

• 

  Graph Of Data

• 

  Stats Of Countries

Inspiration

Hunger is one of the most pressing global issues. South Asia alone accounts for 36% of the world's undernourished population. I wanted to visualize 25 years of hunger data to show progress, highlight struggles, and raise awareness about this critical issue.

What it does

Tracks Global Hunger Index (GHI) scores of 6 South Asian countries:

• Nepal, India, Bangladesh, Pakistan, Sri Lanka, Afghanistan

Features:

• Stats page — ranks, averages, most improved country
• Graphs page — bar, scatter, pie chart comparisons
• Improvement advice for each country

🛠 How we built it

Data sourced from the official Global Hunger Index website.

Challenges we ran into

• Streamlit Cloud running Python 3.14 caused library compatibility issues
• Setting up multi-page Streamlit app structure
• Handling relative vs absolute file paths on deployment

Accomplishments that we're proud of

• Built and deployed a fully working data science dashboard
• Nepal's hunger drop from 37.0 → 14.8 over 25 years was powerful to visualize

What we learned

• Pandas data manipulation and reshaping
• Plotly visualizations
• Streamlit multi-page apps
• GitHub and cloud deployment

What's next for GHI Dashboard

• Expand to all Asian countries
• Add yearly FAO data for more granular trends
• Add 2030 hunger forecast using predictive modeling

Built With

• pandas
• plotly
• python
• streamlit