AI-Driven Voice Transcription with Multilingual Support and Summarization

Abstract: This paper presents an AI-powered platform for real-time voice transcription and multilingual summarization, aimed at streamlining communication and documentation in global collaborative settings. The system combines cutting-edge Artificial Intelligence and Natural Language Processing to accurately transcribe speech, extract critical information, and generate clear, context-aware summaries across multiple languages. Utilizing OpenAI's Whisper for speech recognition, the platform integrates sentiment analysis, topic modeling, and both extractive and abstractive summarization methods. A built-in translation engine enables seamless cross-language understanding, supporting diverse teams and user groups. Applicable in domains such as business, education, healthcare, and public administration, the system minimizes manual workload while improving information accuracy and accessibility.