Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{195395,
author = {Ms. Bolli Purva Ganesh and Ms. Shaikh Simaun Jamil and Ms. Deshmukh Bhakti Bagwan and Ms. Nagtilak Samruddhi Mahadev and Mrs. Asade Anjali Ashok},
title = {Aether Co-Pilot},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {11},
pages = {441-455},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=195395},
abstract = {The Aether Co-Pilot is an innovative, AI-powered productivity workspace designed to streamline development and learning workflows. In an era of rapid technological advancement, the cognitive load on individuals has increased significantly. This project addresses the need for a unified, intelligent assistant that can interpret complex requirements, maintain conversational context, and automate repetitive tasks. Built using the cutting-edge Next.js 15 framework and Google’s Genkit AI orchestration layer, Aether Co-Pilot leverages the power of Large Language Models (LLMs) like Gemini 2.0 Flash. The system features a suite of specialized modules including Quantum CodeForge for voice-to-code generation, Cognitive Memory Core for session-persistent chat history, and Knowledge Navigator for advanced document analysis and study support. Security is at the heart of the architecture, utilizing Clerk for robust authentication and Firebase Firestore for a scalable, path-based user ownership data model. The application is also designed with Progressive Web App (PWA) capabilities, ensuring a seamless, desktop-like experience across platforms. This report details the research, design, implementation, and testing phases of the Aether Co-Pilot project, demonstrating how modern AI integration can significantly enhance human productivity},
keywords = {AI Desktop Assistant, Machine Learning, Natural Language Processing, Voice Recognition, Task Automation, Secure Authentication, Productivity Enhancement},
month = {April},
}
Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.
Join NowNational Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024
Submit inquiry