🌍 Akwaaba — AI Tourism Guide for Ghana
🌍 Akwaaba — AI Tourism Guide for Ghana
A web app that identifies Ghanaian landmarks, food, and signs — and narrates them in the tourist’s own language.
Group size: 3-4 · Duration: 1 week · Awards: 5 categories
🎯 What you’re building
Tourists in Accra (or anywhere in Ghana) upload a photo of any landmark, dish, or sign. Within 10 seconds:
- Rekognition identifies what’s in the photo
- Your curated
facts.csvprovides cultural context - Translate converts the context to the tourist’s language (French, Spanish, Twi, Mandarin)
- Polly narrates it aloud in a natural voice
🛠️ AWS services
- EC2 — Streamlit web app
- Rekognition — image labeling
- Polly — text-to-speech (multi-language voices)
- Translate — text translation
- S3 — photo uploads
👥 Team roles
- UI Lead — the Streamlit app interface
- AWS Engineer — EC2, IAM, security groups, deployment
- AI Engineer — Rekognition + Polly + Translate boto3 calls
- Data & Story Lead — curate landmarks/dishes content + demo script
📖 The full walkthrough
Open GroupProject1_Akwaaba_Tourism_Guide.html in your browser. It’s an 8-phase guided build with code, AWS setup, EC2 deployment, polish checklist, demo prep, and award criteria.
The walkthrough is self-contained — no internet needed once you have the file.
💡 Strategic tip for this project
Curate aggressively. A working app with only 5 landmarks looks like a school project. The same app with 30 landmarks (with depth: history, year, cultural significance) looks like a real product. The Data Lead’s work matters more than the code.
🏅 Awards (5 categories)
| 🎨 Most Polished | 💡 Most Innovative | 🎤 Best Demo | 📚 Best Documentation | ❤️ People’s Choice | |—|—|—|—|—|
Read the 🏆 Awards section of the walkthrough for what specifically wins each one for THIS project.