Abstract / Introduction

The proposed project aims to develop an AI-powered Virtual Internship Portal that provides students and beginners with real-world freelancing experience. The platform will simulate freelancing projects, assign tasks and provide AI-driven feedback to learners. Unlike traditional internship platforms, this system integrates Artificial Intelligence to recommend tasks based on skill level, auto-evaluate submissions and provide personalized career guidance. It also connects students with mentors and generates a portfolio that can later be used for actual freelancing platforms such as Upwork and Fiverr.

This project addresses the growing demand for practical freelancing exposure while reducing dependency on external internship providers. By leveraging AI-based recommendation, natural language processing (NLP) and automated evaluation, the platform will act as a bridge between academia and the freelancing industry.

Functional Requirements:

• FR1: User registration and authentication (students, mentors, and admin).
• FR2: AI-based skill assessment test for recommending appropriate freelancing domains (e.g., graphic design, content writing, programming, etc.).
• FR3: Task/project allocation using AI recommendation based on student profile and performance.
• FR4: Automated evaluation of submitted tasks using AI models (e.g., code correctness, plagiarism check, grammar analysis, design evaluation).
• FR5: Mentor dashboard for reviewing student progress and giving feedback.
• FR6: Portfolio generation for students based on completed tasks.
• FR7: AI-powered chatbot for career guidance and freelancing tips.
• FR8: Admin panel for managing users, projects and system settings.
• FR9: Reporting and analytics (student progress tracking, skill improvement metrics).
• FR10: Integration with external freelancing platforms for real-world project exposure (optional advanced feature).

Note: Attendance at Google Meet sessions is mandatory for discussing the project with the supervisor; failure to attend may result in the project not being accepted.

Prerequisite:

To help students grasp the project problem concepts, they must be required to complete a free course certification along with initial project documentation. Relevant course materials and sources will be shared during Google Meet sessions for further guidance.