Objective:

To build a learning platform that identifies a student's skills and learning progress, then recommends internships relevant to their skill level and area of interest, enabling practical industry exposure.

Key Features:

Student Panel:

• Register and create profile with skills/interests

• Personalized skill-based course suggestions

• Track learning progress via dashboards

• Earn badges/certifications on course completion

• Get AI-based internship recommendations

• Apply to internships directly through the portal

• Save/bookmark internships

Instructor Panel:

• Add/upload new courses and skill tags

• Assign difficulty level to courses (Beginner/Intermediate/Advanced)

• Assess student submissions or quizzes

• Offer certificates or endorsements

Company/Recruiter Panel:

• Register and post internship opportunities

• Add skill requirements, stipend, and location

• View student applications and profiles

• Shortlist candidates directly

Admin Panel:

• Manage users (students, instructors, recruiters)

• Monitor platform usage, course completion rates

• Review internships posted (approval system)

• Moderate flagged content or spam

Tech Stack:

Workflow (Step-by-Step):

1. User Registration and Profile Creation

• Student signs up and selects skills/interests (e.g., Web Dev, AI, Data Science)

• Can upload resume for skill extraction (optional)

• AI parses and suggests missing skills to improve

2. Learning Module Assignment

• Based on selected/interested skills, platform recommends structured learning paths

• Courses are tagged with skills and levels (e.g., HTML - Beginner, React - Intermediate)

• Students start learning, track progress, and complete quizzes or assignments

3. Skill Tracker and Badge System

• Completion of each course adds skill score

• Display badges or levels (e.g., React - Level 2, Python - Level 1)

• Public profile shows verified skills

4. Internship Recommendation System

• AI engine maps learned skills with current internship listings

• Filters internships based on skill match %, student level, location preference

• Uses content-based filtering and/or collaborative filtering algorithms

5. Application and Tracking

• Students view details and apply to recommended internships

• Recruiters view applicants and their verified skills

• Recruiter shortlists candidates via dashboard

6. Instructor and Admin Tools

• Instructors upload new content and evaluate student performance

• Admin monitors usage, validates internships, and reviews user activity