https://github.com/2krishnayadav/jobvalidator
Detect Fake Job Postings With AI-Powered AnalysisDon't fall victim to job scams. Our advanced machine learning algorithm helps you identify fraudulent job listings with high accuracy.
https://github.com/2krishnayadav/jobvalidator
detector jobposting jopvalidator python-3 scams validator vercel
Last synced: about 2 months ago
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Detect Fake Job Postings With AI-Powered AnalysisDon't fall victim to job scams. Our advanced machine learning algorithm helps you identify fraudulent job listings with high accuracy.
- Host: GitHub
- URL: https://github.com/2krishnayadav/jobvalidator
- Owner: 2KRISHNAYADAV
- Created: 2025-03-07T16:20:44.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-03-07T16:23:46.000Z (over 1 year ago)
- Last Synced: 2025-03-07T17:28:33.673Z (over 1 year ago)
- Topics: detector, jobposting, jopvalidator, python-3, scams, validator, vercel
- Homepage: https://job-fraud-finder.vercel.app/
- Size: 10.7 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# JobValidator - Build in stage 😁 no file
## Protecting Job Seekers From Fraud
**Detect Fake Job Postings With AI-Powered Analysis**
Don't fall victim to job scams. Our advanced machine learning algorithm helps you identify fraudulent job listings with high accuracy.
### Analyze a Job Posting
🔍 **Learn How It Works**
- **14%** of job postings online contain fraudulent elements
- **$2,000** average financial loss from job scams
- **95%** detection accuracy with our AI algorithm
---
## 🚀 Key Features
Our advanced detection system helps you avoid scams and stay safe in your job search.
✅ **Scam Detection** - Uses machine learning algorithms to identify fraudulent job postings based on text analysis and metadata.
✅ **Keyword Flagging** - Highlights suspicious words and phrases commonly used in scam job listings.
✅ **Email Domain Analysis** - Verifies if contact emails belong to legitimate company domains rather than generic free email services.
✅ **Salary Verification** - Compares salary offers with industry standards to flag unrealistic compensation packages.
✅ **Company Verification** - Cross-references company information with business databases to confirm legitimacy.
✅ **Risk Assessment** - Provides a comprehensive risk score and detailed analysis of potential warning signs.
---
## 🛠 How It Works
Our advanced algorithm analyzes multiple aspects of job postings to identify potential fraud.
### 1️⃣ Step 1: Text Analysis
Our algorithm analyzes the language used in job descriptions to identify suspicious patterns and red flags commonly found in fraudulent postings.
- Natural Language Processing
- Keyword Analysis
- Pattern Detection
### 2️⃣ Step 2: Metadata Verification
We examine job posting metadata like company information, location details, and contact information to verify legitimacy against known patterns.
- Company Verification
- Location Analysis
- Contact Validation
### 3️⃣ Step 3: Compensation Analysis
The system evaluates salary offers against industry standards to flag unusually high (or vague) compensation packages that are common in scams.
- Salary Verification
- Industry Benchmarks
- Compensation Patterns
### 4️⃣ Step 4: Risk Assessment
All factors are combined into a comprehensive risk assessment that provides you with a clear indication of whether a job posting is legitimate or fraudulent.
- AI Classification
- Risk Scoring
- Fraud Detection
---
## ⚠️ Common Warning Signs
Be on the lookout for these red flags when reviewing job opportunities:
🚩 **Too Good To Be True** - Unusually high salary for minimal qualifications or experience, promises of quick wealth, or extremely flexible arrangements.
🚩 **Vague Job Description** - Lack of specific job duties, required skills, or company details. Legitimate employers provide clear information about the role.
🚩 **Unprofessional Communication** - Emails or messages with poor grammar, spelling errors, or generic greetings like "Dear Applicant" instead of your name.
🚩 **Requests for Personal Information** - Early requests for sensitive data like your SSN, bank account details, or copies of identification documents before a formal interview.
🚩 **Payment Required** - Any request for payment for training, equipment, or registration fees is a major red flag for job scams.
🚩 **Pressure Tactics** - Creating urgency to accept the offer quickly without time to research the company or position thoroughly.
---
## 🛡 Protect Yourself From Job Scams
Don't become a victim of job fraud. Use our **free analysis tool** to check if a job posting is legitimate before applying.
### Analyze a Job Posting Now
#### **Job Posting Analyzer**
Enter details from a job posting to analyze its legitimacy.
🔹 **Job Title:** (e.g. Senior Software Engineer)
🔹 **Company Name:** (e.g. Acme Corporation)
🔹 **Location:** (e.g. New York, NY or Remote)
🔹 **Salary Range:** (e.g. $80,000 - $100,000)
🔹 **Job Description:** (Paste the full job description here)
🔹 **Requirements/Qualifications:** (Paste job requirements or qualifications here)
🔹 **Contact Email (if provided):** (e.g. jobs@company.com)
🔹 **Source of Job Posting:** (e.g. LinkedIn, Indeed, Company Website)
[ **🔍 Analyze Job** ]
---
## 🏢 JobValidator
Protecting job seekers from fraud with advanced AI detection technology.
### **Features**
- Scam Detection
- Keyword Analysis
- Company Verification
- Email Domain Check
### **Resources**
- [Blog](#)
- [Common Scams](#)
- [Safety Tips](#)
- [Report a Scam](#)
### **Contact**
- [About Us](#)
- [Support](#)
- [Privacy Policy](#)
- [Terms of Service](#)
📌 **© 2025 JobValidator. All rights reserved.**
---
## 📝 Editing Files on GitHub
### **Edit a File Directly in GitHub**
1. Navigate to the desired file(s).
2. Click the **Edit** button (pencil icon) at the top right of the file view.
3. Make your changes and commit the changes.
### **Use GitHub Codespaces**
1. Navigate to the main page of your repository.
2. Click on the **Code** button (green button) near the top right.
3. Select the **Codespaces** tab.
4. Click on **New Codespace** to launch a new Codespace environment.
5. Edit files directly within the Codespace and commit and push your changes once you're done.
---
## 💻 Technologies Used
This project is built with:
- **Vite** ⚡
- **TypeScript** 🟦
- **React** ⚛️
- **shadcn-ui** 🎨
- **Tailwind CSS** 🌊