The NLP project develops an automatic diagnostic system for student answers (Correctness Evaluation). It solves the burden of manual testing through an advanced Cross-Encoder model and innovative use of GenAI to create synthetic data (Hard Negatives).
Talk to MPESA API via a REST API. Bringing the MPESA G2 API to the 21st century. --
Native App powering SAGE. Written in Go.
A Perplexity API MCP server that unlocks Perplexity's search-augmented AI capabilities for LLM agents. Features robust error handling, secure input validation, and transparent reasoning with the showThinking parameter.
In this project, I predict whether a patient has a low or high chance of having a heart attack using classification
A small Next.js app which utilises search results to feed context to the LLM.
Estimates the projected loss of income of users who are on strike assuming they are taking time from working full-time to be on strike.
MDMcleaner the assessment, classification and refinement tool for microbial dark matter SAGs and MAGs
mpesa rest api converts the mpesa api to a RESTful API that is easy for developers to use instead of the current SOAP web service provided by mpesa.
Quantifying the Reproducibility of Graph Neural Networks using Multigraph Brain Data
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