Beyond Diary: An AI-Powered Personal Biography Generator

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.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2026-11-11
DOI
https://doi.org/10.22214/ijraset.2026.85620
Primary Topic
Autobiographical and Biographical Writing
Type
article
Field-Weighted Citation Impact
0.00
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article

Beyond Diary: An AI-Powered Personal Biography Generator

Siddhesh Chaudhari, Ayush Chavan, Tanmay Jadhav, Aaditya Jadhav et al.
International Journal for Research in Applied Science and Engineering Technology
Autobiographical and Biographical Writing
article

Beyond Diary: An AI-Powered Personal Biography Generator

Siddhesh Chaudhari, Ayush Chavan, Tanmay Jadhav, Aaditya Jadhav, Mrs. S. N. Jundre
article en

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.

International Journal for Research in Applied Science and Engineering TechnologyVol. 14(11)
Autobiographical and Biographical Writing
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