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Kezia In Leadership

Hii there

👩‍💻 About Me :

I am a Full Stack Developer

  • 🔭A Computer Science Student

  • Curious about Computational biology 🤖 🧬 🕵️.

  • 🌱 A Google Developers Student Club Lead, exploring Open Source platforms and Community Projects

  • ⚡ In my free time, I keep up with the latest technology updates #Blockchain #AI #ML

  • 📖 I love classic literature and play alto sax 🎷

  • 📫How to reach me: LinkedIn Badge

Top Langs

Let's Code

Kezia Wangeci Wahome's Projects

advanced_algorithms icon advanced_algorithms

This is practice and part of my Advanced Algorithm Course from basics to advanced concepts of algorithms

android-fhir icon android-fhir

The Android FHIR SDK is a set of Kotlin libraries for building offline-capable, mobile-first healthcare applications using the HL7® FHIR® standard on Android.

biotechrx_platform icon biotechrx_platform

AI for Healthcare Platform , uses Malaria Models and Computational Biology Modules to accelerate action against neglected tropical diseases

carbon-footprint icon carbon-footprint

ML Model_How to Measure Carbon Footprint with Python and Vertex AI Pipelines

codecanvas icon codecanvas

A tool that creates downloadable images of your code

commuterapp icon commuterapp

Implements Google Maps API to show commute routes and calculates how many hours, time and money you spend on your daily commute

congo-sentry icon congo-sentry

A community-driven, open-source project focused on enhancing public safety in Congo. Leverages real-time information to provide location-based alerts. Built to empower locals with timely, actionable insights.

d3rlpy icon d3rlpy

An offline deep reinforcement learning library

deeptraffic icon deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

farmassist icon farmassist

Farmassist is a smart farming app for IoT and AI-powered plant disease detection. It is built with Flutter and uses Firebase as its backend.

flaskapp_api icon flaskapp_api

This is a flask App with a Model Deployment on Azure to predict Diabetics Type2

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