Draft:Acosar

Submission declined on 28 June 2025 by QEnigma (talk).

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Declined by QEnigma 10 hours ago. Last edited by Jonesey95 0 seconds ago. Reviewer: Inform author.

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Comment: No WP:RS, WP:IS provided. QEnigma (talk) 15:24, 28 June 2025 (UTC)

Comment: In accordance with Wikipedia's Conflict of interest policy, I disclose that I have a conflict of interest regarding the subject of this article. 2001:8003:3F2E:4E00:F147:42F:4589:15FD (talk) 15:18, 28 June 2025 (UTC)

Acosar is a personal assistant and intelligent search engine developed by Harry Lewin, an undergraduate student at the University of New England (UNE). Initially written in Python, Acosar combines artificial intelligence and semantic search to offer a context-aware, conversational interface for information retrieval and task assistance. The project is under active development and has gained attention for its rapid iteration and innovation.

Overview

Acosar functions as both a digital assistant and a personalized search engine. Unlike traditional search engines, it uses natural language understanding (NLU) and adaptive context tracking to return conversational and precise results. Acosar can interpret user intent, manage tasks, retrieve web data, and maintain multi-turn dialogues.

History

Development of Acosar began in early 2024 as a personal project by Harry Lewin, a computer science undergraduate at UNE. The first prototype, built in Python, integrated open-source NLP libraries. As it evolved, Acosar adopted more sophisticated models for dialogue management and intent classification.

By mid-2025, Acosar had expanded beyond basic query processing, gaining capabilities in semantic search, voice command parsing, and predictive behavior.

Features

Natural language interface: Accepts both typed and spoken user inputs in plain language.
Contextual memory: Retains conversation context for more relevant follow-ups.
Search engine: Uses AI to deliver personalized and context-aware search results.
Task management: Includes reminders, to-do lists, and scheduling tools.
Modular architecture: Designed for future expansion through plugin modules and third-party APIs.

Technology

Acosar's backend is primarily developed in Python, utilizing frameworks such as TensorFlow, PyTorch, and spaCy. The assistant was initially built for a command-line interface, with web and GUI-based versions under development. Planned features include mobile support and voice synthesis using text-to-speech systems.

Development and Future Plans

Acosar is currently in active development. Lewin has indicated plans to release an open-source version, emphasizing user privacy and decentralization. Upcoming milestones include support for multilingual interaction, smart home integration, and collaborative filtering.

External links