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Reimagining Recruitment Through AI-Powered Talent Discovery and Matching

Technologies Used

  • UI/UX Design (Figma) – Designed an intuitive, mobile-first interface focused on personalized job discovery and simplified application flows.
  • Mobile App Development (React Native) – Built cross-platform mobile apps for iOS and Android to deliver consistent performance and accessibility.
  • Web Development (React.js) – Developed responsive, high-performance web interfaces for candidates and employers.
  • Backend Development (Node.js, Express.js) – Implemented RESTful APIs to handle job listings, candidate data, employer dashboards, and communication workflows.
  • Database (MongoDB) – Managed candidate profiles, resumes, and job postings efficiently with scalable data structures.
  • AI & Machine Learning – Developed intelligent algorithms for resume parsing, candidate scoring, and job-to-profile matching.
  • NLP Integration – Used Natural Language Processing for keyword extraction, skill mapping, and automated job recommendations.
  • Resume Builder Engine – Automated creation of professional resumes with customizable templates.
  • Cloud Infrastructure (AWS) – Ensured high scalability, data security, and real-time system reliability.
  • Authentication & Security (OAuth 2.0, JWT) – Implemented secure login, multi-factor authentication, and encrypted data handling.
  • Push Notifications (Firebase Cloud Messaging) – Delivered real-time job alerts, application updates, and recruiter messages.
  • Testing & QA (Manual + Automated) – Ensured system stability, accuracy of AI recommendations, and seamless user interactions across devices.

Project Details

Candour Technolabs designed and developed an AI-Powered Job Portal App built to revolutionize how employers and candidates connect. By integrating AI-driven recommendations and NLP-based resume parsing, the platform intelligently matches talent with opportunities based on skills, experience, and intent. The app allows candidates to apply, chat, and schedule interviews effortlessly, while employers gain powerful dashboards for analytics, candidate management, and recruitment automation. With real-time notifications, secure logins, and ML-based scoring, TalentIQ brings precision, speed, and personalization to modern hiring.
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Objective

To build a smart, user-centric job marketplace that uses Artificial Intelligence to connect employers and job seekers faster and more accurately—reducing hiring time, improving candidate relevance, and enhancing overall recruitment experience.

Key Features

  • AI-Based Job Matching – Matches candidates to job listings based on skills, experience, and preferences.
  • Resume Parsing & Skill Extraction – Automatically identifies key qualifications from uploaded resumes using NLP.
  • Job Recommendations – Suggests relevant positions to candidates based on behavior and profile data.
  • In-App Chat & Interview Scheduling – Streamlines communication and allows direct scheduling within the app.
  • Employer Dashboard – Provides recruiters with analytics, shortlists, and application tracking tools.
  • Candidate Scoring Engine – Ranks applicants based on AI-driven compatibility and role fit.
  • Push Notifications – Keeps users updated on new openings, messages, and interview reminders.
  • Profile Verification (KYC) – Ensures authenticity of both candidates and employers.
  • Admin Panel – Monitors activity, reports, and overall platform performance.
  • Analytics & Insights – Provides metrics for hiring trends, time-to-hire, and engagement rates.

01 Background

Traditional job portals rely heavily on keyword searches and manual screening, leading to inefficiencies and poor candidate matches. With the rise of AI and automation, there’s an opportunity to create a smarter, data-driven recruitment ecosystem. Candour Technolabs envisioned an AI-powered platform that learns from user behavior, interprets job data contextually, and automates repetitive hiring processes—bridging the gap between talent discovery and opportunity with intelligence and precision.
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02 The Challenges

  • Data Accuracy: Ensuring AI models interpret diverse resume formats correctly.
  • Match Quality: Building reliable algorithms that prioritize skills over keywords.
  • Scalability: Handling large datasets of candidates, job postings, and analytics queries.
  • User Engagement: Keeping users active with smart notifications and personalized experiences.
  • Security: Protecting sensitive candidate and employer data under strict compliance.
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03 The Solution

Candour Technolabs engineered App, an intelligent recruitment ecosystem that transforms how hiring happens. Through AI-powered parsing, ML-based ranking, and predictive recommendations, the app delivers the right match faster. Candidates enjoy a personalized job-search journey, while employers access a data-driven hiring interface. With seamless UX, scalable cloud architecture, and integrated compliance, TalentIQ represents the next generation of recruitment technology—efficient, transparent, and human-centered.