FakeJobDetector-AI

Inspiration

Online job scams are increasing rapidly across job portals and social media platforms. Many students, freshers, and remote job seekers become victims of fake recruitment posts that demand registration fees or personal information.

We wanted to build an AI-powered cybersecurity solution that helps users identify suspicious job postings before they become victims of recruitment fraud.

What it does

FakeJobDetector-AI is an AI-powered fraud detection platform that analyzes job descriptions in real time and classifies them as legitimate or suspicious.

The platform detects fake hiring scams, registration fee frauds, unrealistic salary offers, phishing-style recruitment messages, and suspicious hiring patterns.

The system also provides explainable AI results that clearly show why a job posting is risky.

How we built it

We built the project using machine learning and web technologies.

Frontend: HTML, CSS, JavaScript

Backend: Python, Flask

AI/ML: TensorFlow, Keras, Scikit-learn

Deployment: Render

Workflow: User Input → Text Processing → Scam Pattern Analysis → AI Detection → Classification Result

Challenges we ran into

One major challenge was balancing the detection between legitimate and fraudulent job postings because some scams look highly professional.

Another challenge was creating explainable AI outputs that users can easily understand instead of only showing predictions.

Accomplishments that we're proud of

• Built a working AI-powered recruitment fraud detector
• Developed real-time scam analysis
• Added explainable AI-based prediction results
• Successfully deployed the application online
• Designed a simple and user-friendly interface

What we learned

Through this project, we learned NLP, text classification, deep learning integration, fraud detection techniques, model deployment, and the importance of explainable AI in cybersecurity systems.

What's next for FakeJobDetector-AI

We plan to improve the platform with browser extension support, recruiter verification, phishing link detection, resume scam analysis, multi-language support, and advanced NLP-based fraud detection models.

Built With

• artificial
• css
• cybersecurity
• deep
• flask
• html
• intelligence
• javascript
• keras
• learning
• machine
• natural-language-processing
• python
• render
• scikit-learn
• tensorflow