We present an advanced version called Voxento-Pro which is an interactive voice-based lifelog retrieval system. This system has been developed to participate in the seventh ACM Lifelog Search Challenge LSC’24, at ICMR’24 in Thailand. In Voxento-Pro, we introduce a conversational query methodology by utilising OpenAI’s Assistant API and employ OpenAI’s Whisper technology for state-of-the-art speech recognition and synthesis. This novel version features a more natural interaction mechanism, which enhances the user’s experience. In addition, the user interface (UI) was redesigned and introduced a new chat interface and other components. The backend retrieval API was rebuilt with a new technology to support fast and efficient API interactions. Data processing of the lifelog data resulted in about 20% of non-important images being identified and 27% of missing data being filled with Geocoding APIs.