
During July 2026, contributed to the PV_Classes_Website repository by developing two AI-powered features focused on enhancing user engagement and assessment readiness. Built an intelligent course recommendation engine that uses JavaScript and React to score and rank courses by topic, subject, and exam type, integrating these results directly into the course browsing interface. Also launched an AI-driven mock interview platform with adaptive difficulty, real-time avatar-based interactions, webcam proctoring, and bilingual voice-to-text support, leveraging Next.js and Web APIs. The work established a robust foundation for backend integration, enabling seamless end-to-end AI features across course discovery and interview simulations.
July 2026 monthly summary for PV_Classes_Website: Focused on delivering AI-powered features to improve discovery, engagement, and assessment readiness. Key achievements include an intelligent course recommendation engine with ranking utilities and UI integration, and an AI-powered mock interview platform with real-time interactions, avatar support, and proctoring. The work laid a solid foundation for backend integration and multilingual capabilities, showcasing strong AI/ML, frontend integration, and real-time collaboration skills.
July 2026 monthly summary for PV_Classes_Website: Focused on delivering AI-powered features to improve discovery, engagement, and assessment readiness. Key achievements include an intelligent course recommendation engine with ranking utilities and UI integration, and an AI-powered mock interview platform with real-time interactions, avatar support, and proctoring. The work laid a solid foundation for backend integration and multilingual capabilities, showcasing strong AI/ML, frontend integration, and real-time collaboration skills.

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