Fikra2050
Chat-based exploration of Tanzania Development Vision 2050 so people can ask plain-language questions instead of scanning a long national plan PDF.
Story behind the project
Vision 2050 is a national roadmap with sectors, regions, careers, and timelines. Most people never finish the document – they need a faster way to find what matters to them.
Problem statement
Reading Vision 2050 end to end is slow and repetitive. Searching manually across a long PDF makes it hard to connect goals, sectors, and personal career or regional context.
What was built
Fikra2050 turns the document into an interactive AI experience: natural-language Q&A, context-aware RAG answers, and guided exploration through chat, landing, dashboard, and admin surfaces.
- Natural-language questions about Vision 2050
- Retrieval-augmented responses grounded in the plan
- Guided views for sectors, regions, careers, and timelines
- Auth, onboarding, and admin flows for a product-shaped experience
Tech used
Core tools and decisions that shaped the implementation.
Source & next steps
Full code, setup notes, and ongoing work live on GitHub. Open the repository to review architecture, run locally, or fork the approach.