Year: 2026
Type: article
Abstract: A diary helps people hold on to important experiences and see how they have changed, but writing and organizing entries takes time, and that effort discourages many users from keeping it up. Research on story generation, personalized narrative generation, lifelog retrieval, autobiographical memory, and long-term memory for AI systems each addresses part of this problem. We review 20 papers published between 2020 and 2026 and find clear progress in each area, yet these capabilities are treated separately rather than as one continuous storytelling system. To address this gap we present Beyond Diary, an AIpowered personal biography generator. Users record daily experiences by voice or text; the system transcribes speech, extracts events, emotions, and milestones with a large language model, stores them as searchable memories, and writes biography chapters from them. Reminders, streaks, and badges support consistent use. The paper also reports the system’s feasibility, requirements, layered architecture, and UML-based design, built on React.js, Node.js, PostgreSQL with pgvector, the Whisper API, and the Groq API running LLaMA 3. The system aims to make keeping a record of one’s life light enough to sustain and to turn everyday experiences into a personal biography.
Language: English
Subfield: Literature and Literary Theory
Field: Arts and Humanities
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W7225808300