Detecting Fraudulent/Scam Phone Calls Using Machine Learning
Challenge Started!

This Omdena Local Chapter Challenge runs for 10 weeks and is a unique experience to try and grow your skills in a collaborative and safe environment with a diverse mix of people from all over the world.
You will work on solving a local problem, initiated by Singapore Alpha Chapter.
The problem
Spam calls are very difficult to prevent despite the efforts of the authorities and telcos. The scammers always manage to find ways to circumvent for their next round for every solution that the authorities apply. It can be said that it is a proverbial dog chasing the tail problem. Nonetheless, there will continue to be efforts to try to solve this problem.
In this project, we aim to find ways to detect fraudulent phone calls before they pick up or while they are still taking and alerting the user. We plan to perform the detection using voice prints, robotic voice identification as well as using machine learning on the phone content. We will develop an app that will give access to the call to perform recognition and therefore alert the users.
The goals
Our goal is to develop an app that will detect fraudulent calls using machine learning. This app can be installed to a mobile phone whereby it will be able to inform the user if the call they receive is fraudulent or not. With a duration of 10 weeks, this project aims to do the following:
1. Data Collection and Exploratory Data Analysis.
- Collect voice-data on scam calls.
- Collect voice-data on robotic voice vs human voice.
2. Pre-processing.
3. Feature Extraction.
4. Model Development and Training.
5. Evaluate Model.
6. App development.
Why join? The uniqueness of Omdena Local Chapter Challenges
Omdena Local Chapter Challenges are not a competition or hackathon but a real-world project that will grow your experience to a new level.
A unique learning experience with the potential to make an impact through the outcome of the project. You will go through an entire data science project lifecycle. This covers problem scoping, data collection, and preparation, as well as modeling for deployment.
And the best part is that you will join the global and collaborative community of Omdena with tons of benefits to accelerate your career.
First Omdena Local Chapter Challenge?
- Beginner-friendly, but also welcomes experts
- Education-focused
- Open-source
- Duration: 4 to 8 weeks
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


