FishAlert: AI-Powered Scam Detection & Prevention
Track: Cyber Security
๐ Inspiration
In an increasingly digital world, online scams and phishing attacks have become more sophisticated, leading to financial losses and emotional distress. We noticed that:
- Many users, especially elderly individuals and children, fall prey to scammers.
- Existing solutions only react after a scam occurs, rather than preventing it.
- There was a lack of interactive learning tools for cybersecurity awareness.
We built FishAlertto address these gaps, an AI-powered scam detection and prevention tool that helps users identify and respond to online and phone scams in real-time. ๐ฏ
๐ What It Does
FishAlert is a dual-purpose AI tool designed to:
- โ Detect phone scams in real-time ๐ต๏ธโโ๏ธ
- โ Provide AI-generated responses to scammers ๐๏ธ
- โ Educate users about online security threats ๐
- โ Block malicious websites ๐
๐ Features & Functionality
| Feature | Description |
|---|---|
| ๐ฃ๏ธ Speech-to-Text | Converts phone conversations into text using real-time speech recognition. |
| ๐ Phone Number Analysis | Extracts caller details such as timezone, location, and carrier to validate legitimacy. |
| ๐ค AI Scam Detection | Identifies scam-related keywords and provides insights into potential threats. |
| ๐ค Text-to-Speech Responses | Generates verbal responses that users can play during scam calls. |
| ๐ซ Website Blocker | Blocks suspicious sites with a password-protected lock. |
๐๏ธ How We Built It
We combined AI, cybersecurity, and user-friendly technology to create FishAlert:
- Backend: Python (Flask) for API and AI model integration ๐
- AI Model: Large Language Model (LLM) for scam detection ๐ง
- Speech Processing: Google Speech-to-Text and Text-to-Speech ๐๏ธ
- Frontend: React Native for mobile application development ๐ฑ
- Database & Security: Firebase for real-time storage ๐ฅ
- Third-Party APIs: Used APIs for phone number analysis and scam detection integration ๐ก
๐ง Challenges We Ran Into
- 1๏ธโฃ Real-time scam detection: Training an AI model to detect scam phrases accurately while avoiding false positives was a challenge.
- 2๏ธโฃ Speech-to-text efficiency: Handling different accents and background noise required fine-tuning the speech recognition model.
- 3๏ธโฃ Website blocker security: Ensuring the website blocker was tamper-proof needed a robust password system.
- 4๏ธโฃ Balancing usability & complexity: Making the app easy for elderly users while incorporating advanced features took extra design effort. ๐จ
๐ Accomplishments That We're Proud Of
- โ Successfully built an AI-powered scam detection system ๐ฏ
- โ Integrated real-time speech processing and AI rebuttals ๐ฅ
- โ Developed an interactive cybersecurity education tool ๐
- โ Created an easy-to-use website blocker ๐ก๏ธ
- โ Helping people protect themselves from online fraud ๐
๐ What We Learned
- ๐น AI can be a powerful tool for online safety ๐ง
- ๐น User feedback is crucial for improving scam detection ๐ก
- ๐น Cybersecurity education should be engaging and accessible ๐
- ๐น Seamless integration of multiple technologies (AI, Speech Processing, Cybersecurity) creates a more effective solution โก
๐ Business & Market Strategy
๐ฅ So What?
In an increasingly digital world, users face constant threats from scams that compromise their personal information and financial security. FishAlert empowers users with the tools to detect and avoid these threats, making online interactions safer and more secure. ๐ก๏ธ
๐ฐ How Are We Going to Sell It?
We plan to offer FishAlert as a freemium service:
- Basic version: Core scam detection features for free.
- Premium tier: Personalized scam reports & advanced protection.
๐น Marketing Strategy:
- ๐ข Social Media Campaigns
- ๐ค Partnerships with cybersecurity influencers
- ๐ Educational webinars to demonstrate the appโs value
๐ฏ Who Is Our Target Audience?
- ๐ฉโ๐ป General internet users (email & social media users)
- ๐จโ๐ฉโ๐ง Parents concerned about childrenโs online safety
- ๐ต Older adults who may be more vulnerable to online scams
๐ What Is the Problem?
Online scams and phishing attacks cause financial loss and emotional distress. Many users lack the knowledge or tools to identify these threats effectively.
โ ๏ธ What Is the Issue?
Current solutions are often reactive, leaving users vulnerable until they fall victim to a scam. FishAlert offers real-time detection and preventative education.
โ Why Should People Use FishAlert?
- ๐น Daily scam-checking tool for emails, messages, and calls
- ๐น Helps educate users on phishing and online scams
- ๐น Example: If a user receives a suspicious "You've won a prize!" email, they can use FishAlert to verify if itโs a scam before taking action.
๐ What Makes FishAlert Better Than Competitors?
Unlike many competitors, FishAlert combines scam detection with user education. Our key differentiators include:
- โ An engaging, user-friendly interface
- โ Real-time scam alerts & AI-generated rebuttals
- โ Personalized feedback based on scam patterns
- โ Educational tools on cybersecurity threats
๐ฎ What's Next for FishAlert
- ๐ Enhance AI capabilities to detect new scam techniques
- ๐ฑ Develop a browser extension for scam detection in real time
- ๐ Add multilingual support for broader accessibility
- ๐ Improve security layers to prevent phishing attacks more effectively
- ๐ Introduce scam trend analytics to warn users about emerging threats
With FishAlert, we aim to create a safer, scam-free digital world for everyone. ๐๐
Built With
- cyber-security
- firebase
- firestore
- flask
- google-gemini
- javascript
- llm
- python
- react-native
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