- About Project
Project Brief
The task at hand was a strategic migration of a traditional platform to a cloud-based recruitment solution. It involved a complete rewriting of the legacy codebase, software refactoring, data migration, and integrating microservices.

Transforming Recruitment at TalentTech India with AI-Powered CV Screening and RPA
Background TalentTech India, a mid-sized technology consulting firm, specializes in providing cutting-edge IT solutions to clients across various industries. With a rapidly growing client base, the firm faced challenges in scaling its recruitment process efficiently. The traditional hiring approach was time-consuming, labor-intensive, and prone to biases, leading to prolonged hiring cycles and inconsistent candidate quality.
- Challenges
Challenge & Solution
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Challenges TalentTech India identified several key issues in their recruitment process:
- Time-Consuming Screening
Manual CV screening required HR personnel to review hundreds of applications per job posting, leading to delays in hiring.
- Inconsistent Candidate Quality
Subjective evaluations resulted in inconsistent hiring decisions, affecting team performance and project execution.
- Unconscious Bias
Human recruiters, despite best intentions, often exhibited unconscious biases in candidate selection.
- Scalability Concerns
With business expansion, TalentTech India struggled to scale recruitment efforts while maintaining efficiency.

Solution
Background TalentTech India, a mid-sized technology consulting firm, specializes in providing cutting-edge IT solutions to clients across various industries. With a rapidly growing client base, the firm faced challenges in scaling its recruitment process efficiently. The traditional hiring approach was time-consuming, labor-intensive, and prone to biases, leading to prolonged hiring cycles and inconsistent candidate quality.
- Key Features
Key Features of the AI & RPA System

- Automated CV Extraction from Naukri.com
RPA bots were deployed to scan job applications and fetch resumes based on predefined criteria.
- Skill-Based Matching
AI algorithms compared candidate profiles against job descriptions for better alignment.
- Bias Reduction Mechanisms
Neutralized demographic and personal information, focusing purely on skills and experience.
- Ranked Shortlisting
Provided a ranked list of the best-fit candidates, helping recruiters prioritize top talent.
- Seamless ATS Integration
The system seamlessly integrated with TalentTech India’s existing Applicant Tracking System (ATS) for streamlined workflow management.
- Process
Implementation Process
- Automated CV Extraction from Naukri.com
RPA bots were deployed to scan job applications and fetch resumes based on predefined criteria.
- Skill-Based Matching
AI algorithms compared candidate profiles against job descriptions for better alignment.
- Bias Reduction Mechanisms
Neutralized demographic and personal information, focusing purely on skills and experience.
- Ranked Shortlisting
Provided a ranked list of the best-fit candidates, helping recruiters prioritize top talent.
- Seamless ATS Integration
The system seamlessly integrated with TalentTech India’s existing Applicant Tracking System (ATS) for streamlined workflow management.

- Impact
Results And Impact

- Automated CV Extraction from Naukri.com
RPA bots were deployed to scan job applications and fetch resumes based on predefined criteria.
- Skill-Based Matching
AI algorithms compared candidate profiles against job descriptions for better alignment.
- Bias Reduction Mechanisms
Neutralized demographic and personal information, focusing purely on skills and experience.
- Ranked Shortlisting
Provided a ranked list of the best-fit candidates, helping recruiters prioritize top talent.
- Seamless ATS Integration
The system seamlessly integrated with TalentTech India’s existing Applicant Tracking System (ATS) for streamlined workflow management.
Conclusion
Conclusion By integrating AI-powered CV screening with RPA-driven resume extraction from Naukri.com, TalentTech India successfully transformed its recruitment process, achieving efficiency, quality, and fairness in hiring. The firm now has a scalable and data-driven hiring framework that aligns with its long-term growth objectives. This case study highlights the power of AI and automation in modern recruitment and serves as a model for other Indian organizations seeking to optimize talent acquisition.
This case study examines how TalentTech, a mid-sized technology consulting firm, revolutionized their recruitment process by implementing an AI-powered CV screening system. The transformation resulted in a 75% reduction in time-to-hire and a 40% increase in candidate quality, while significantly reducing hiring biases.