- E-LEARNING PROJECTS
- Reviews
Learning Path Advisor Based on Career Goals
Objective
To develop an intelligent platform that recommends personalized learning paths to students based on their career goals, current skill level, and interests, helping them achieve targeted academic and professional outcomes efficiently.
Key Features
Student Panel:
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Secure registration and login
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Set career goals (e.g., software engineer, civil engineer, data scientist)
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Complete a skill assessment test to evaluate current knowledge
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Receive personalized learning paths with recommended courses, tutorials, and projects
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Track progress along the learning path
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Get suggestions for skill improvement, certifications, and electives
Instructor / Mentor Panel:
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Upload courses, tutorials, and resources aligned with career paths
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Monitor student progress along recommended paths
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Suggest additional resources based on performance
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Provide mentorship or guidance on selected learning paths
Admin Panel:
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Manage users, courses, and career path mappings
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Configure assessment tests and skill metrics
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Monitor platform usage and learning path effectiveness
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Generate analytics: popular career goals, most-followed learning paths, student progress
Tech Stack
| Layer | Technologies |
|---|---|
| Frontend | React.js / Angular / Vue.js / HTML5 + CSS3 |
| Backend | Node.js + Express / Django / Spring Boot |
| Database | MongoDB / PostgreSQL / MySQL |
| Authentication | JWT / OAuth 2.0 |
| AI/Recommendation Engine | Python (scikit-learn, TensorFlow, PyTorch), Collaborative Filtering, Content-based Filtering |
| Notifications | Nodemailer (Email) / Twilio (SMS) |
| Hosting | AWS / GCP / Heroku / Vercel |
Workflow (Step-by-Step)
1. User Onboarding & Goal Setting
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Students register/login securely
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Select career goals and optional interests
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Complete initial skill assessment test to determine proficiency
2. Learning Path Generation
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System analyzes assessment results and career goals
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Generates a personalized roadmap with recommended courses, tutorials, and exercises
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Prioritizes topics based on skill gaps and relevance to career goals
3. Course & Resource Recommendation
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Students receive suggested courses and learning resources
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AI recommends sequence of study: foundational → intermediate → advanced
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Integration with existing course catalog and external resources
4. Progress Tracking
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Track completed courses, quizzes, and projects
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Visual dashboards showing milestones, skill coverage, and progress percentage
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Adaptive adjustments if students excel or struggle in certain topics
5. Notifications & Guidance
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Alerts for upcoming recommended courses or deadlines
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Suggestions for additional certifications, workshops, or projects
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Periodic summary emails for progress and achievements
6. Optional Advanced Features
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AI-driven predictive analytics: estimate time to achieve career readiness
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Mentor recommendations based on progress and performance
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Gamification: badges or points for completing milestones
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Mobile app integration for on-the-go learning guidance