JobNest: An AI Powered Career Guidance Platform
Developed by: Naseta (23IT021) & Dabhi Keval (23IT019)
Overview 📌
In today’s dynamic job market, traditional recruitment methods—based on static resumes and manual screening—often result in mismatched placements. JobNest addresses this gap with an AI-powered platform that streamlines hiring through intelligent job matching, competency evaluation, and skill gap analysis.
Why JobNest? 🎯
We identified several key challenges in existing hiring systems:
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Skill Mismatch: Candidates often lack clarity about required competencies.
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Generic Guidance: Most platforms fail to offer personalized recommendations.
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Unconscious Bias: Manual screening can lead to inconsistent evaluations.
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Limited Labor Market Insight: Real-time trends are rarely considered.
JobNest offers a structured, data-driven solution to these problems—benefiting both job seekers and recruiters.
Our Goals ✔️
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Provide tailored job recommendations based on user profiles.
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Detect skill gaps and suggest relevant upskilling opportunities.
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Automate resume analysis and optimization using AI.
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Deliver real-time labor market insights to guide career choices.
Tech Stack Overview 🛠️
We adopted a modular, scalable architecture:
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Frontend: React.js, Vite, TailwindCSS
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Backend: Node.js, Express.js
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Database: MongoDB (NoSQL)
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AI/NLP Integration: Google Generative AI (Gemini API)
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Authentication: OAuth2 & JWT
We also implemented features like Google login, email verification, password recovery, and logging backup to ensure user safety and convenience. 🔐
Key Features ✨
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AI-Based Job Matching: Matches user profiles to job descriptions using cosine similarity.
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Skill Gap Analysis: Highlights areas of improvement and suggests MOOCs or certifications.
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Resume Builder & Optimizer: Improves ATS compatibility using NLP techniques.
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Competency Scoring: Quantifies user readiness based on industry benchmarks.
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Industry Insights Dashboard: Visualizes job trends, salaries, and demand across sectors.
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Testing Engine: Provides scenario-based assessments for both technical and soft skills.
User Flow 🔄
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Sign-Up/Login (via email or Google)
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Profile Setup: Input education, experience, skills
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Competency Score: Calculated based on AI analysis
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Job Suggestions & Skill Gap Detection
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Skill Testing & Recommendations
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Resume Optimization & Salary Insights
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Downloadable Resume 📄
Feasibility Highlights ✅
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Technically Sound: Built on stable, scalable, and well-supported technologies
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Cost-Efficient: Utilizes open-source tools with a freemium business model
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User-Friendly: Compliant with accessibility standards (WCAG 2.1)
Limitations to Consider ⚠️
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Reduced accuracy for niche roles with limited training data
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Need for regular model updates to reflect evolving market trends
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Potential data privacy concerns that require ongoing monitoring
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Continued effort to mitigate algorithmic bias in recommendations
Looking Ahead 🔭
In future updates, JobNest aims to integrate:
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LMS Platforms for real-time course enrollment
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Support for Domain-Specific Roles (e.g., Healthcare, Law, Education)
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Multilingual Support for regional languages
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VR/AR-Based Assessments for hands-on skill evaluation
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Behavioral Intelligence for deeper personalization
Conclusion 🧩
JobNest stands as a comprehensive solution to modern hiring challenges. By combining AI, data analytics, and a user-friendly interface, it creates value for both job seekers and employers. The platform not only matches candidates to suitable opportunities, but also empowers them to grow through continuous feedback, testing, and personalized learning suggestions.
With its thoughtful design and ethical foundation, JobNest aims to contribute meaningfully to the evolving landscape of recruitment.
