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  AI forensic report with threat score and classification.

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  Explainable AI evidence highlighting detected phishing indicators.

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  Risk analytics dashboard showing threat severity and recommendations.

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  Threat intelligence dashboard with real-time security metrics.

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  SOC monitoring feed with AI-generated security insights.

Sentinel AI

Sentinel AI is an AI-powered threat intelligence platform that helps users identify phishing attempts, online fraud, malicious URLs, and social engineering attacks before they cause damage.

Inspiration

Online scams are becoming increasingly sophisticated, and many users struggle to determine whether a message, screenshot, email, or URL is legitimate. We wanted to build a platform that could instantly analyze suspicious content and provide understandable security insights.

What It Does

Sentinel AI analyzes:

• Screenshots
• URLs
• Emails
• Text messages

The platform generates:

• Threat Score
• Confidence Score
• Threat Category Classification
• Scam DNA Fingerprint
• Explainable AI Evidence
• Risk Assessment
• Protection Recommendations

How We Built It

Frontend

• Next.js
• TypeScript
• Tailwind CSS

Backend

• FastAPI
• Python

AI Layer

• Groq API
• Llama 3.3 70B Versatile

Deployment

• Vercel (Frontend)
• Render (Backend)

Challenges We Ran Into

• Building explainable threat analysis rather than simple scam detection
• Integrating AI-generated insights into structured forensic reports
• Managing deployment across multiple services
• Designing a dashboard that presents security intelligence clearly

Accomplishments That We're Proud Of

• Developed a complete AI-powered threat analysis platform
• Successfully integrated Groq LLMs for security intelligence generation
• Built a forensic-style intelligence dashboard
• Added explainable AI evidence for transparency
• Deployed a fully functional public demo

What We Learned

During development, we gained practical experience with:

• FastAPI backend architecture
• AI inference using Groq
• Full-stack deployment workflows
• Threat intelligence concepts
• Explainable AI system design

What's Next For Sentinel AI

Future improvements include:

• Browser extension support
• Email inbox threat scanning
• Advanced URL reputation analysis
• Multi-language threat detection
• Enterprise SOC integrations
• Mobile application support

Live Demo

Frontend: https://vigil-incident-agent.vercel.app

Backend API: https://vigil-incident-agent.onrender.com

Source Code

GitHub Repository: https://github.com/yaswanthme007/vigil-incident-agent

Built With

• 3.3
• 70b
• ai
• api
• css
• cybersecurity
• fastapi
• groq
• learning
• llama
• machine
• next.js
• python
• render
• rest
• tailwind
• threat
• typescript
• vercel
• versatile