Scamhunt (Scams)

Safety & Security - Social media scams

Team members:

Ibrahim Elouard, Software Engineer
Kazymir Rabier, Software Engineer
Loy Juncheng, Software Engineer
Ramesh Gopalkrishnan, PM/Designer
Alison Chang, PM

Problem Statement

Social media platforms often fail to address and take down user reported scams. They also do not share this data with relevant authorities, hindering anti-scam efforts in Singapore. There has been a 28% increase in social media scams in 2024 and 83% of scam victims were contacted on Meta Platforms.

Proposed Solution

Scamhunt is trying to solve the problem by

Enabling easy reporting of suspicious posts
Providing AI-powered assessment of scam likelihood for reported posts
Equipping authorities with actionable data to combat online scams hold social media platforms accountable

Our MVP

A Telegram bot that enables Singaporeans to easily report scams by sharing links and screenshots for social media scam posts.
It then compiles this data into usable reports for authorities to make effective takedown requests.

After the hackathon we have improved the product

User Engagement and Experience
- Scamunt website for people who don’t have a Telegram
- Improvements to Telegram bot. Whatsapp bot exploration ongoing
API to check for scams and integrate scam feeds
- Law enforcement agencies can use our core scam likelines tech to check for scams in their data feeds
Higher Report Quality
- Improved accuracy in scam classifications by type and by platform
- Unique reports by each user and overall
Collaboration with Authorities
- Ongoing conversation with GASP to test our tech on some of their feeds
- Ongoing conversations with MDDI to promote Scamhunt to their internal community and linking with IMDA/CSA for potential pilots/collaboration.
Data Security:
- Data is stored in a secured database. Only authenticated users can access the Admin platform and view the data we collect

Check out Scamhunt here!