SafeQR

✅ What it does Our solution scans QR codes and links to detect potential phishing threats. It uses AI agents to analyze the website behind the link (meta tags, HTML content, hosting info...) and generates a user-friendly risk report with a scam score. The tool is accessible via a mobile/web app or API for B2B integrations.

🛠 How we built it Frontend: Built with Next.js for the app interface. QR Scanner: Integrated web & mobile QR scanning. CrewAI Agents: One agent scrapes the webpage, another summarizes and analyzes it. Mistral: Transforms raw data into human-readable insights with a scam probability score. ScrapeWebiteTool : document/page structure analysis for better context.

💸 Business Model Summary B2C: Freemium model via app – a few free scans per month, then credit-based system. B2B: Subscription-based API access (ex: email scanning integration, link safety checker). Future: Threat database marketplace and dashboard with analytics for enterprises.

🧠 Anything else We focus on solving a real user pain: people scan without thinking. Our tool empowers everyone (tech or not) to stay safe with just one scan. Long-term, we envision integrations in browsers, messaging apps, and email providers.

Built With

• crewai
• mistral
• next
• typescript