- Blog
- CV generator
- Community
- Documentation
Innocent Charles
Dar es Salaam, Tanzania
I am a young , technopreneur and cognitive sciencitist , with proven ability to organize, communicate and manage , also have a solid background in Software development , Artificial Intelligence and Mathematics (Software Engineering and Data Science) . I love to work with people and help them in their business by solving problems and make things happen . I am keen to expand skills and prepared to work in a variety of roles as required.
CodersRank Score
What is this?
This represents your current experience. It calculates by analyzing your connected repositories. By measuring your skills by your code, we are creating the ranking, so you can know how good are you comparing to another developers and what you have to improve to be better
Information on how to increase score and ranking details you can find in this blog post.
188.1
CodersRank Rank
Top 4%
Top 50
JavaScript
Developer
Tanzania
Top 1
Jupyter Notebook
Developer
Tanzania
Top 50
PHP
Developer
Tanzania
Highest experience points: 0 points,
0 activities in the last year
Jupyter Notebook
92.7
exp.
CSS
16.9
exp.
HTML
13.4
exp.
JavaScript
9.6
exp.
PHP
8.6
exp.
Python
17.9
exp.
SCSS
7.9
exp.
Shell
3.2
exp.
List your work history, including any contracts or internships
Omdena
Nov 2021 - Jan 2022 (2 months)
Machine Learning Engineer
FEATURED PROJECTS :
1. Using AI to detect and show the root cause of anomalies in Data center by Sensai. -Finished
( Unsupervised Learning , Deep Learning & Data analysis )
2. Facilitating access to financial services for underserved populations in Africa by TojuAfrica. -Ongoing
( Deep Learning , NLP , Data analysis & Optical Character recognition)
1. Using AI to detect and show the root cause of anomalies in Data center by Sensai. -Finished
( Unsupervised Learning , Deep Learning & Data analysis )
2. Facilitating access to financial services for underserved populations in Africa by TojuAfrica. -Ongoing
( Deep Learning , NLP , Data analysis & Optical Character recognition)
Add some compelling projects here to demonstrate your experience
AI POWERED TOOL TO AUTOMATIC DETECT COVID-19 FROM X-RAY SCAN IMAGES MADE BY FLASK , DEEP TRANSFER LEARNING
Aug 2021 - Nov 2021
The University Of Dodoma
AI-POWERED-COVID-19-INTELLIGENT-DETECTOR
COVID -19 is the acronym for coronavirus disease that discovered in the late of 2019 in wuhan china according to the WHO.With the outbreak of an unknown disease in late 2019 in China, some people became infected with the disease in a local market.The specific cause of this widespread disease was initially unknown, but after the laboratory examination and analysis of positive sputum by real-time polymerase chain reaction (PCR) test, the viral infection was confirmed and eventually named “COVID-19” upon the recommendation of the World Health Organization (WHO).
While the RT-PCR test is the early method and gold standard for diagnosing COVID-19, it has limiting aspects with certain features that make it difficult to diagnose the disease. RT-PCR is a very time-consuming, complex, costly, and manual process. One of the drawbacks of this method is the need for a laboratory kit, the provision of which is difficult or even impossible for many countries during crises and epidemics. Like all diagnostic and laboratory methods in healthcare systems, this method is not error-free and is biased. It requires an expert laboratory technician to sample the nasal and throat mucosa which is a painful method. One of the most important ways to diagnose COVID-19 is to use radiological images, including X-ray Chest imaging is a quick and easy procedure recommended by medical and health protocols and has been mentioned in several texts as the first tool in screening during epidemics.
The aim of this project is to creat an AI intelligent radiognose tool to simply easy making detection of the covid-19 from the given x-ray images and also collecting and storing the different cases for the covid-19 outbreak accross the different areas.
METHODS , DEPLOYMENT AND TOOLS USED
I used Two algorithms based on CNN(Convolutional Nerual Network) in Deep Learning one i named as CovidDetectorNet that i built from scratch and another built based on the transfer learning which resnet101.
Then transfer learning showed high accuracy and performed well in both training and validation images ,therefore i deployed model based on transfer learning by using Flask API and resulted a Web Application that is simply as it saves time and quickly detect the covid-19 from the x-ray images.
COVID -19 is the acronym for coronavirus disease that discovered in the late of 2019 in wuhan china according to the WHO.With the outbreak of an unknown disease in late 2019 in China, some people became infected with the disease in a local market.The specific cause of this widespread disease was initially unknown, but after the laboratory examination and analysis of positive sputum by real-time polymerase chain reaction (PCR) test, the viral infection was confirmed and eventually named “COVID-19” upon the recommendation of the World Health Organization (WHO).
While the RT-PCR test is the early method and gold standard for diagnosing COVID-19, it has limiting aspects with certain features that make it difficult to diagnose the disease. RT-PCR is a very time-consuming, complex, costly, and manual process. One of the drawbacks of this method is the need for a laboratory kit, the provision of which is difficult or even impossible for many countries during crises and epidemics. Like all diagnostic and laboratory methods in healthcare systems, this method is not error-free and is biased. It requires an expert laboratory technician to sample the nasal and throat mucosa which is a painful method. One of the most important ways to diagnose COVID-19 is to use radiological images, including X-ray Chest imaging is a quick and easy procedure recommended by medical and health protocols and has been mentioned in several texts as the first tool in screening during epidemics.
The aim of this project is to creat an AI intelligent radiognose tool to simply easy making detection of the covid-19 from the given x-ray images and also collecting and storing the different cases for the covid-19 outbreak accross the different areas.
METHODS , DEPLOYMENT AND TOOLS USED
I used Two algorithms based on CNN(Convolutional Nerual Network) in Deep Learning one i named as CovidDetectorNet that i built from scratch and another built based on the transfer learning which resnet101.
Then transfer learning showed high accuracy and performed well in both training and validation images ,therefore i deployed model based on transfer learning by using Flask API and resulted a Web Application that is simply as it saves time and quickly detect the covid-19 from the x-ray images.
This section lets you add any degrees or diplomas you have earned.
University Of Dodoma
Bachelor's degree, Software Engineering and Artificial Intelligence
Nov 2019 - Nov 2023
Holberton School
Associate's degree, Software Engineering
Jan 2022 - Feb 2023
Dataquest.io
scholarship, Data science and Machine learning
Jan 2022 - Jan 2023
Unsupervised Machine Learning Program , Aritificial Intelligence
Dec 2021
HCIA-AI
Oct 2021
Huawei
HCIP-AI-EI Developer
Oct 2021