About the Project

Inspiration

Job and internship scams are becoming a serious problem for students and job seekers. Fake recruiters may use attractive salaries, urgent offers, fake company information, or requests for money to trick applicants. We wanted to build a simple tool that helps users check an offer before they trust it.

What We Built

AI JobShield is an AI-powered job and internship scam detection platform. Users can paste a job description, recruitment message, or email content into the system. The application analyzes the submitted text and identifies suspicious patterns commonly associated with fraudulent recruitment.

The system provides:

Risk Score – an easy-to-understand indication of how suspicious the offer is.

Scam Indicators – highlights potentially dangerous patterns in the submitted content.

Reasoning – explains why the offer may be suspicious.

Safety Guidance – provides practical warnings before the user responds or shares personal information.

How It Works

The user submits a job or internship message.

The system preprocesses and analyzes the text.

AI-based analysis identifies suspicious keywords, patterns, and recruitment red flags.

A risk score is generated.

The user receives an explanation of the detected warning signs.

Target Users

The primary users are:

College students

Fresh graduates

Internship seekers

Job seekers

First-time applicants

What We Learned

While developing the project, we focused on turning an AI model into a practical solution rather than simply creating a chatbot. We learned how text data can be processed for classification, how risk scoring can make AI results easier to understand, and how user-focused interfaces can improve the usefulness of AI systems.

Challenges

One of the main challenges was distinguishing potentially fraudulent offers from legitimate opportunities because not every suspicious-looking message is necessarily a scam. We therefore focused on combining multiple indicators and presenting the result as a risk assessment, rather than claiming that every detected offer is definitely fraudulent.

Real-World Impact

AI JobShield aims to help students and job seekers pause and verify suspicious recruitment offers before losing money, sharing sensitive information, or becoming victims of recruitment fraud.

Our goal is simple:

Check first. Trust later.

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Updates

posted an update —

AI JobShield — Hackathon Project Update

We have completed the development of AI JobShield, an AI-powered cybersecurity platform focused on identifying potentially fraudulent job and internship offers.

The project allows users to submit recruitment messages and receive an easy-to-understand risk assessment, including:

  • LOW, MEDIUM, HIGH, and CRITICAL risk levels
  • Suspicious recruitment indicator detection
  • Red-flag explanations
  • Safety recommendations
  • Explainable analysis to help users understand the result

The project has been tested, deployed, documented, and prepared for the ForgeHacks Online 2026 submission.

AI JobShield — Check First. Trust Later.

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Submission history