Olufemi Victor (@osinkolu)

Top repositories

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Umoja-Hack-Africa-2022

#Umoja Hacks. This repo contains team solo's best solutions for the umoja hackathon 2022 hosted on Zindi, it is the combined effort of Fajamila Oluwadunsin, Okewunmi Paul and Olufemi Victor.
Jupyter Notebook
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2

umoja-hack

This repo contains team solo's best solutions for the umoja hackathon, it is the combined effort of Fajamila Oluwadunsin, Okewunmi Paul and Olufemi Victor
Jupyter Notebook
17
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3

GBV-Hackathon

This contains my solution for the Gender-Based Violence Tweet Classification Challenge hosted on Zindi
Jupyter Notebook
14
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4

Zindi-Notebooks

Jupyter Notebook
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5

Task-Mate-Kenyan-Sign-Language-Classification-Challenge

This competition was hosted on Zindi. The objective of this competition is to build a model to recognize ten different everyday KSL signs present in the images, using machine learning or deep learning algorithms.
Jupyter Notebook
8
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6

FarmX

This repository contains Team FarmX's solution for the Google Solution Challenge 2023.
JavaScript
7
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7

DataFest-Africa-Noise-Pollution-Classification-Challenge

Due to the widespread noise pollution in our cities, data sponsors Sunbird AI recognised a need to gather data on noise exposure, in order to produce an action plan and empower citizens to be vigilant in tracking and monitoring noise. The challenge is to train a noise classification model to classify noise into different categories.
Jupyter Notebook
7
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8

Agrobot

Agrobot is the modern farmer's A.I assistant, Agrobot is built to help farmers detect crop diseases or pests on the farm through snapshots. It is basically a host to Computer vision models built for farm use. Agrobot gives brief explanations on the detected subject, as well as proffer the latest solutions. Agrobot also supports over 150 languages.
Python
5
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9

Turtle-Recall-Conservation-Challenge

The aim of this competition is to build a machine learning model to identify individual sea turtles. For each image presented, the model should output the turtle’s unique ID or, if the image corresponds to a new turtle (not present in the database), identify it as a new individual. A dataset of labelled photos of turtle faces and a tutorial including a simple baseline model have been provided.
Jupyter Notebook
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10

Road-Segment-Identification-Zindi

This solution contains my best notebook for the #zindiweekendz Road Segment Identification Hackathon.
Jupyter Notebook
4
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11

Spot-the-Mask-Challenge

Jupyter Notebook
4
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12

30-Days-of-Learning

The 30 days of learning program was powered by Microsoft, the programme was designed to help upskill with Microsoft technologies by learning and building solutions across these knowledge areas; Data Analysis Using Power BI, Low-code/No-Code Application Development using Power Platform, and Data Science and Machine Learning with Azure. This repo contains my notes from the program. The main page is accessible via https://aka.ms/30DLOnboardingRecap
Jupyter Notebook
4
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13

FREE-AI-Classes-In-Every-City-Hackathon

The objective of the challenge is to predict the price (Amount (Million Naira) the company should sell a car based on the available data (Location, Maker, Model, Year, Colour, Amount (Million Naira), Type, Distance). The objective is the predict the selling price. About Data Science Network (datasciencenigeria.org)
Jupyter Notebook
4
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14

Agrobotfarms

https://agrobotfarms.netlify.app/
CSS
3
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15

Swahili-News-Classification-Challenge

Jupyter Notebook
3
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16

Solafune-Notebooks

This repository contains my notebooks for challenges on Solafune.com πŸ˜‰
Jupyter Notebook
3
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17

UmojaHack-2023

Jupyter Notebook
3
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18

Cryptocurrency-Price-Prediction-Challenge

my solution for the Bitgrit 2024 hackathon
Jupyter Notebook
3
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19

Tutorial-6-Object-detection-based-on-colour

This tutorial gives a full explanation on how to trace my red pen on my screen using OpenCV library.
Jupyter Notebook
2
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20

Iris-Unsupervised-Kmeans-clustering

The Jupiter notebook was created in fulfillment of my internship program at the sparks foundation. In this task, I performed unsupervised learning via the kmeans clustering algorithm.
Jupyter Notebook
2
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21

Chemotronix

A Machine Learning model that predicts CO2 emissions values for a specified place and time
HTML
2
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22

Busara-Mental-Health-Prediction-Challenge-IndabaX-Nigeria

Building a model which accurately predicts which individuals are likely to be depressed from the survey data could be used by mental health providers such as local clinics, NGOs or community health volunteers to reach out to those at risk.
Jupyter Notebook
2
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23

Tutorial-3-Outro-to-OpenCV

This Tutorial completes the introductory session on the Opencv library.
Jupyter Notebook
2
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24

Tensorflow-Basics-to-computer-vision-with-Team-Pluto

This repository contains all my work with team pluto, The team is a child of Data Science Ife (AI+OAU). The first project aim by the Team is to continue work on the community's first open sourced project (Plantnosis). Find here the Link to plantnosis repo: https://github.com/datascienceife/Plantnosis. Description: Plantnosis is an android application powered to identify various plant diseases and give recommendations to farmers on how to treat those diseases.
Jupyter Notebook
2
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25

NFT-Price-Prediction

Jupyter Notebook
1
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26

TIDB-Hackathon-Agrobotfarms

CSS
1
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27

Tutorial-5-Scoring-your-MCQ-sheet-with-Opencv

This tutorial guides you on how to mark and score a MCQ answer sheet similar to the OMR sheet, using OpenCV library as a major tool.
Jupyter Notebook
1
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28

soft-transcribe

simple streamlit app to transcribe audio files
Python
1
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29

Tutorial-4-Building-your-document-scanner

This python notebook explains how you can build a document scanner in python using Opencv.
Jupyter Notebook
1
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30

Hey-Hi-Micro

# Hey-Hi This Project is a simple stack of machine learning models to predict race, gender and age of a person. The Project is currently hosted on heroku, using FastAPI as the web framework.
Jupyter Notebook
1
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31

Descision-Trees-and-visualization

The notebook was created in fulfillment of my internship at The Sparks Foundation, the notebook explains clearly how to use decision trees to train data, build model, predict with the model as well as evaluate the model. The final section of the notebook visualizes the decision tree itself, with a clear understanding of how the model makes predictions.
Jupyter Notebook
1
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