{"id":26107145,"url":"https://github.com/2krishnayadav/jobvalidator","last_synced_at":"2026-04-21T01:32:05.887Z","repository":{"id":281219251,"uuid":"944597623","full_name":"2KRISHNAYADAV/JobValidator","owner":"2KRISHNAYADAV","description":"Detect Fake Job Postings With AI-Powered AnalysisDon't fall victim to job scams. 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Our advanced machine learning algorithm helps you identify fraudulent job listings with high accuracy.\n\n### Analyze a Job Posting  \n🔍 **Learn How It Works**\n\n- **14%** of job postings online contain fraudulent elements\n- **$2,000** average financial loss from job scams\n- **95%** detection accuracy with our AI algorithm\n\n---\n\n## 🚀 Key Features\nOur advanced detection system helps you avoid scams and stay safe in your job search.\n\n✅ **Scam Detection** - Uses machine learning algorithms to identify fraudulent job postings based on text analysis and metadata.\n\n✅ **Keyword Flagging** - Highlights suspicious words and phrases commonly used in scam job listings.\n\n✅ **Email Domain Analysis** - Verifies if contact emails belong to legitimate company domains rather than generic free email services.\n\n✅ **Salary Verification** - Compares salary offers with industry standards to flag unrealistic compensation packages.\n\n✅ **Company Verification** - Cross-references company information with business databases to confirm legitimacy.\n\n✅ **Risk Assessment** - Provides a comprehensive risk score and detailed analysis of potential warning signs.\n\n---\n\n## 🛠 How It Works\nOur advanced algorithm analyzes multiple aspects of job postings to identify potential fraud.\n\n### 1️⃣ Step 1: Text Analysis\nOur algorithm analyzes the language used in job descriptions to identify suspicious patterns and red flags commonly found in fraudulent postings.\n- Natural Language Processing\n- Keyword Analysis\n- Pattern Detection\n\n### 2️⃣ Step 2: Metadata Verification\nWe examine job posting metadata like company information, location details, and contact information to verify legitimacy against known patterns.\n- Company Verification\n- Location Analysis\n- Contact Validation\n\n### 3️⃣ Step 3: Compensation Analysis\nThe system evaluates salary offers against industry standards to flag unusually high (or vague) compensation packages that are common in scams.\n- Salary Verification\n- Industry Benchmarks\n- Compensation Patterns\n\n### 4️⃣ Step 4: Risk Assessment\nAll factors are combined into a comprehensive risk assessment that provides you with a clear indication of whether a job posting is legitimate or fraudulent.\n- AI Classification\n- Risk Scoring\n- Fraud Detection\n\n---\n\n## ⚠️ Common Warning Signs\nBe on the lookout for these red flags when reviewing job opportunities:\n\n🚩 **Too Good To Be True** - Unusually high salary for minimal qualifications or experience, promises of quick wealth, or extremely flexible arrangements.\n\n🚩 **Vague Job Description** - Lack of specific job duties, required skills, or company details. Legitimate employers provide clear information about the role.\n\n🚩 **Unprofessional Communication** - Emails or messages with poor grammar, spelling errors, or generic greetings like \"Dear Applicant\" instead of your name.\n\n🚩 **Requests for Personal Information** - Early requests for sensitive data like your SSN, bank account details, or copies of identification documents before a formal interview.\n\n🚩 **Payment Required** - Any request for payment for training, equipment, or registration fees is a major red flag for job scams.\n\n🚩 **Pressure Tactics** - Creating urgency to accept the offer quickly without time to research the company or position thoroughly.\n\n---\n\n## 🛡 Protect Yourself From Job Scams\nDon't become a victim of job fraud. Use our **free analysis tool** to check if a job posting is legitimate before applying.\n\n### Analyze a Job Posting Now\n#### **Job Posting Analyzer**\nEnter details from a job posting to analyze its legitimacy.\n\n🔹 **Job Title:** (e.g. Senior Software Engineer)  \n🔹 **Company Name:** (e.g. Acme Corporation)  \n🔹 **Location:** (e.g. New York, NY or Remote)  \n🔹 **Salary Range:** (e.g. $80,000 - $100,000)  \n🔹 **Job Description:** (Paste the full job description here)  \n🔹 **Requirements/Qualifications:** (Paste job requirements or qualifications here)  \n🔹 **Contact Email (if provided):** (e.g. jobs@company.com)  \n🔹 **Source of Job Posting:** (e.g. LinkedIn, Indeed, Company Website)  \n\n[ **🔍 Analyze Job** ]\n\n---\n\n## 🏢 JobValidator\nProtecting job seekers from fraud with advanced AI detection technology.\n\n### **Features**\n- Scam Detection\n- Keyword Analysis\n- Company Verification\n- Email Domain Check\n\n### **Resources**\n- [Blog](#)\n- [Common Scams](#)\n- [Safety Tips](#)\n- [Report a Scam](#)\n\n### **Contact**\n- [About Us](#)\n- [Support](#)\n- [Privacy Policy](#)\n- [Terms of Service](#)\n\n📌 **© 2025 JobValidator. All rights reserved.**\n\n---\n\n## 📝 Editing Files on GitHub\n### **Edit a File Directly in GitHub**\n1. Navigate to the desired file(s).\n2. Click the **Edit** button (pencil icon) at the top right of the file view.\n3. Make your changes and commit the changes.\n\n### **Use GitHub Codespaces**\n1. Navigate to the main page of your repository.\n2. Click on the **Code** button (green button) near the top right.\n3. Select the **Codespaces** tab.\n4. Click on **New Codespace** to launch a new Codespace environment.\n5. Edit files directly within the Codespace and commit and push your changes once you're done.\n\n---\n\n## 💻 Technologies Used\nThis project is built with:\n- **Vite** ⚡\n- **TypeScript** 🟦\n- **React** ⚛️\n- **shadcn-ui** 🎨\n- **Tailwind CSS** 🌊\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F2krishnayadav%2Fjobvalidator","html_url":"https://awesome.ecosyste.ms/projects/github.com%2F2krishnayadav%2Fjobvalidator","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2F2krishnayadav%2Fjobvalidator/lists"}