The rapid advancement of global digital communication has intensified the need for platforms that support secure and efficient multilingual interaction. This paper proposes Talkzen, a comprehensive multi-language learning and real-time communication system developed using the MERN stack (MongoDB, Express.js, React.js, and Node.js). The platform integrates text-based chat, audio calling, and video calling functionalities within a unified interface, enabling users to communicate seamlessly across language barriers. To enhance learning effectiveness, the system incorporates AI-driven language translation and interactive communication features that facilitate practical language acquisition. Furthermore, robust cybersecurity mechanisms, including secure authentication, data encryption, and protected communication channels, are implemented to ensure user privacy and data integrity. The architecture is designed to be scalable and responsive, supporting cross-platform accessibility via web-based applications. Experimental evaluation and performance analysis indicate that the proposed system improves user engagement, supports efficient multilingual communication, and ensures a high level of data security. The results demonstrate that Talkzen serves as an effective solution for integrating language learning with secure real-time communication. This study highlights the potential of combining modern web technologies, artificial intelligence, and cybersecurity to develop next-generation digital communication and learning platforms.