Fighting the Currency Theft Problem in Nigeria Churches through Computer Vision

Start Date: December 17, 2022 | 3 years ago

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

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

Data Pre-Processing

Exploratory Data Analysis Modelling

Modelling (cont)

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.

First Omdena Local Chapter Project?

Beginner-friendly, but also welcomes experts

Education-focused

Duration: 4 to 8 weeks

Open-source

Your Benefits

Address a significant real-world problem with your skills

Build your project portfolio

Access paid projects (as an Omdena Top Talent)

Get hired at top organizations

Requirements

Good English

Suitable for AI/ Data Science beginners but also more senior collaborators

Learning mindset

Application Form

Application Closed.