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joskintola/naija-agent

Domain:

natural language processing

Record type:

software
Creator:
jos
Host:
# πŸ‡³πŸ‡¬ Naija Agent ### LLM-Powered User Modelling & Personalised Recommendation System **DSN Γ— Bluechip Technologies β€” LLM Agent Challenge Β· Hackathon 3.0** --- ## πŸ”— Live Application **naija-agent-production.up.r… --- ## πŸ“Œ Overview Naija Agent is a two-task LLM-based system that models Nigerian user behaviour and delivers personalised cross-domain recommendations. It is built on real data from **Yelp**, **Amazon Reviews**, and **Goodreads**, powered by **Claude claude-opus-4-5**, and contextualised deeply for Nigerian users, language, and culture. | Task | Description | |------|-------------| | **Task A β€” User Modelling** | Simulates how a specific user would review an unseen item β€” capturing their tone, rating behaviour, vocabulary, and Nigerian cultural context | | **Task B β€” Recommendation** | Delivers personalised cross-domain recommendations using chain-of-thought reasoning, handling cold-start users and multi-turn refinement | --- ## πŸ—οΈ Architecture --- naija-agent/ β”œβ”€β”€ app/ β”‚ β”œβ”€β”€ main.py # FastAPI endpoints β€” Task A and Task B β”‚ β”œβ”€β”€ agent.py # AI brain β€” Claude API + prompt engineering β”‚ β”œβ”€β”€ data.py # Dataset loader β€” Yelp, Amazon, Goodreads β”‚ β”œβ”€β”€ index.html # Single-page frontend UI β”‚ └── data/ β”‚ β”œβ”€β”€ yelp_sample.json # 26 users, 452 Nigerian businesses β”‚ β”œβ”€β”€ amazon_sample.json # 50 users, 473 products β”‚ └── goodreads_sample.json # 46 users, 200 books β”œβ”€β”€ extract_data.py # One-time data extraction pipeline β”œβ”€β”€ requirements.txt # Python dependencies β”œβ”€β”€ Dockerfile # Container definition β”œβ”€β”€ docker-compose.yml # Multi-service orchestration └── README.md ## πŸ“Š Datasets --- | Dataset | Source | Users | Items | Domain | |---------|--------|-------|-------|--------| | Yelp | Kaggle (yelp-dataset) | 26 | 452 businesses | Food & Restaurants | | Amazon Reviews | Kaggle (amazon-product-reviews) | 50 | 473 products | Products & Shopping | | Goodreads | Ka …

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