AI-POWERED SKILL SWAP PLATFORMWITHINTELLIGENT SKILL VERIFICATION скачать в хорошем качестве

AI-POWERED SKILL SWAP PLATFORMWITHINTELLIGENT SKILL VERIFICATION

The Skill Swap AI Platform is a web-based peer-to-peer learning system that allows users to exchange skills without using money. It follows a “Teach to Earn, Learn to Spend” model where users earn credits by teaching their skills and use those credits to learn from others. This approach encourages knowledge sharing and builds a collaborative learning community. The platform uses AI-based tutor matching to recommend suitable tutors based on skills and reputation scores. It also manages the complete learning session life-cycle including requests, confirmations, and video meetings. A review and feedback system helps maintain quality and trust among users. Overall, the platform combines AI technology, a credit-based economy, and a user-friendly web interface to support modern peer-to-peer education. Module 1: User Authentication and Profile Management This module manages user registration, login, and secure authentication within the platform. Users can create an account, log in securely using token-based authentication, and manage their personal profiles. Each user can add the skills they can teach and the skills they want to learn.The module ensures that only authenticated users can access the platform’s features. It also stores important information such as user reputation score, available credits, and skill lists. This module forms the foundation of the system by maintaining user identity and enabling personalized learning experiences. Module 2:AI-Based Tutor Matching System This module uses an Artificial Intelligence matching algorithm to connect learners with the most suitable tutors. The system processes user search queries and compares them with tutor skill profiles using Natural Language Processing techniques such as TF-IDF and Cosine Similarity.Based on this analysis, the system ranks tutors according to skill relevance and reputation score. This intelligent matching process ensures that learners receive accurate recommendations, improving the quality of learning sessions and saving time in finding the right tutor. Module 3:Session Management and Credit System This module manages the complete learning session workflow. Learners can request sessions from tutors, and tutors can confirm or reject those requests. Once a session is confirmed, the system automatically generates a video meeting link using Jitsi Meet for real-time interaction. The platform uses a credit-based economy where learners spend credits to attend sessions and tutors earn credits for teaching. Credits are temporarily stored in an escrow system and released to the tutor only after the session is successfully completed.In conclusion, this project is a complete approach to waste management. It combines real-time monitoring and recycling markets. Module 4: Review and Reputation System The review and reputation module ensures quality and trust within the platform. After completing a session, learners can rate tutors and provide feedback. The system calculates the tutor’s average reputation score based on ratings.Tutors with higher reputation scores are ranked higher in search results, improving their visibility on the platform. This feedback mechanism encourages tutors to provide better teaching and helps learners choose reliable instructors.