CameroonProgress Made Today - 6/12/2024:
Dead Pangolin, Kumba, July 2023
Explore the regions to find out more about this project
90% done: Needs touch ups
The Introduction introduces my project "The prospective use of Artificial Intelligence and Machine Learning in combatting Wildlife Trafficking in Cameroon" and dicsusses the seriousness of wildlife trafficing in Cameroon and how machine learning can be used to fight this
80% done:
Sections 3,4, and 5 need work
40% complete
currently refining datasets
Looks at information that exists on a variety of fields.
These topics are:
1. Wildlife Trafficking in Central Africa and Cameroon
2. Current methods utilized to combat poaching and illicit trade
3. Existing literature on the Use of AI in combatting the illicit wildlife trade
4. AI in fighting Criminal trafficking, Analyzing Transportation Routes, and Understanding Human Behavior
5. Existing Data
The Exploratory Analysis examines the dataset I had attened to use and the one I created. It looks at why the original data put by an NGO is vastly wrong and why the daatset I created is the msot accurate. External factors are also looked at such as the Anglophone Crisis, Boko Haram, and trends in species demand
0% complete
0% - Not Started
The methodology will be the application of the machien learning algorithms (Random Forest and Linear Regression) to the dataset I created that has a list of wildlife trafficing locations from 2006-2024
It is hoped that with this project, Machine Learning can be utillized to both identify and predict wildlife trafficing activity in Cameroon
With this section, the machine learning algorithms will be looked at to see how good they are at determining areas often visited by wildlife traffickers and then predicitng future hotspots
A conclusion will then be given where the results will be connected to what was discussed with the literature and real world applications will be discussed.
Douala, the 2nd largest city is located here
Bafoussam is the largest city in this region
