AJIGBOTOSHO/aisip-ml-portfolio

Python Projects about Africa # AISIP ML Portfolio — Ajigbotosho **Africa AI Hub | AI Skills Immersion Programme — Cohort 1** **Pathway 4: AI Engineering & Development** --- ## Week 4: Python Fundamentals — African-Relevant Programs Five Python programs solving real African-context problems, built as part of the AISIP Week 4 coding task. | # | File | Concept | Problem Solved | |---|------|---------|---------------| | 1 | `1_currency_exchange.py` | Variables & Operators | Exchange rates: NGN, KES, ZAR | | 2 | `2_gdp_classifier.py` | if/elif/else | Classifies African countries by GDP per capita | | 3 | `3_city_populations.py` | For loops & Lists | Finds top 3 largest African cities by population | | 4 | `4_capitals_lookup.py` | Dictionaries | Lookup tool for 10 African countries and capitals | | 5 | `5_student_scores.py` | Functions & Tuple Unpacking | Analyses student scores — average, highest, lowest | --- ## About This Portfolio This portfolio documents my learning journey through the AISIP programme as a final-year Biomedical Engineering student. My broader focus is applying AI and machine learning to solve healthcare challenges in Africa — specifically addressing the bias in AI diagnostic tools deployed in Nigerian hospitals without local validation. **Stack:** Python | FastAPI (upcoming) | Machine Learning --- *Built on African soil. For African problems.*