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Author(s):

E.Santhoshini | A.Sherlin | S.Sangamithra
Keywords:

Memory Assistant, Semantic Search, AI Summarization, Transformer Models, Cosine Similarity, Personal Knowledge Management.
Abstract:
In The Era Of Information Overload, Individuals Struggle To Manage And Retrieve Personal Memories And Knowledge Effectively. This Paper Presents ECHO AI, An Intelligent Memory Assistant That Leverages Advanced Natural Language Processing And Machine Learning To Organize, Search, And Summarize Personal Memories Through Semantic Understanding. The System Combines Transformer-based Embeddings For Semantic Search With Abstractive Summarization Capabilities, Providing Users With Contextual Memory Retrieval And Intelligent Insights. Built On A Modern Tech Stack Using Streamlit, Supabase, And Hugging Face Transformers, ECHO AI Demonstrates Superior Performance In Memory Recall Accuracy And User Experience Compared To Traditional Note-taking Applications. Experimental Results Show The System Achieves 92% Accuracy In Semantic Memory Retrieval And Generates Coherent Summaries With 88% User Satisfaction.