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Omdena

Local Chapter project

Fighting the Currency Theft Problem in Nigeria Churches through Computer Vision

Image RecognitionDeep learning / Machine LearningDeep Learning / Computer VisionComputer Vision
Start date
December 17, 2022
Finish date
January 12, 2023
Project status
completed
Fighting the Currency Theft Problem in Nigeria Churches through Computer Vision

Challenge background

Studies have shown that about 30% of the donations made in churches during church services through the regular tithe and offering are remitted to the church authority by those church workers in charge of it. This act of treasury theft has made most churches unable to run their activities of churches effectively. Efforts made by some church heads to combat this ugly menace have yielded little or no result, hence the need for a computer vision approach to solving the problem.

Project timeline

  1. 1

    Week 1

    Data Collection (pre-week 1 even) Data Pre-Processing

  2. 2

    Week 2

    Data Pre-Processing

  3. 3

    Week 3

    Exploratory Data Analysis Modelling

  4. 4

    Week 4

    Modelling (cont)

  5. 5

    Week 5

    Deep Learning Model testing with new data

What you'll learn

1. Collection of Data. 2. Data Cleaning. 3. Data Analysis. 4. Deep Learning of Naira Notes.

Get involved

What to expect from a Local Chapter project

First project

  • Welcomes beginners and experienced practitioners.
  • Focuses on education and collaborative delivery.
  • Produces open-source project work.

Benefits

  • Address a significant real-world problem with your skills.
  • Build your project portfolio.
  • Demonstrate your work to organizations and project partners.

Requirements

  • Working English communication.
  • A learning mindset.
  • Commitment to collaborative project work.

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