Smart CV Forensic System

The AI Recruitment Auditor of Enterprise Grade

A paradigm shift in applicant tracking systems (ATS) is represented by the Smart CV Forensic System. Our solution serves as a hybrid intelligence engine, in contrast to conventional tools that only filter keywords. It automates the due diligence process by combining the contextual knowledge of Generative AI (Google Gemini) with strict Forensic Logic, enabling HR teams to verify candidate claims, identify irregularities, and screen thousands of applications with 100% data privacy and zero bias.

Operational Workflow

It uses a complex 4 step audit pipeline for assessing the quality and credibility of each CV applied through the system:

1. Automated Compliance & Privacy Shield Before carrying out any analysis, your Hiring Document undergoes a Privacy Engine cleansing process. This process identifies and masks Personal Identifiable Information (PII) with references to telephone numbers, email addresses and NIC numbers to guarantee a completely compliance driven hiring process without becoming a source of discrimination related AId riven computations.


2. Metric Based Structural Scoring Raising the bar from impressionistic reviews our Python based logic engine assigns a "Structure Score" to candidates according to defined performance metrics. These include the candidate’s use of Action Verbs Skill Density and Measurable Results (KPI/Metrics) to assure that only those high scoring profiles can showcase professional acumen.

3. Semantic AI Job Matching Using the Google Gemini 1.5 Flash model, the system carries out a semantic match between the profile of the candidate and the exact "Job Description" of the hiring process you have in mind. The system computes the exact "Fit Level" of the match, with the level of fit in the skills taken into account rather than direct text match comparisons.

4. Forensic Verification & Anomaly Detection It's what makes this system unique and provides value. It operates the following processes automatically:


Timeline Auditing: Systemically detects unusual Career Gaps and untenable Employment Overlaps (such as full time jobs simultaneously).


Live Verification: uses Google Search APIs to verify the reality of former employers the legitimacy of college degrees and professional certifications.

User Experience (UX) & Usability

The system's "Zero Learning Curve" design incorporates sophisticated forensic analysis into a user friendly interface:

Visual Decision Support: A traffic light dashboard is used to display analysis results.

🟢 Green: Highly matched and verified.

🟡 Yellow: Potential data gaps and average fit.

🔴 Red: Critical anomalies or mismatches found.


Integrated Verification: By using one click direct links to verify external claims (such as LinkedIn profiles and university accreditation) recruiters can do away with the need for manual external research.

Strategic Value Proposition

Risk Mitigation: It recognizes and prevents the nomination of fraudulent resumes and claims before the interviewing process. It guards the company’s reputation.


Operational Efficiency: Cuts the screening of candidates by 90% so that instead of taking multiple days the process happens almost instantly.


Cost Optimization: Designed on the efficient Gemini Flash architecture, this solution delivers enterprise level analysis with minimal operation expenses per application.


Unbiased Selection: PII removal and score driven selection result in a merit based selection process with zero bias which could be present in manual selection performed by humans.