AEGIS NEXUS AI
Abstract
AEGIS NEXUS AI is an intelligent AI-driven business planning and decision-support system designed to assist entrepreneurs in planning and designing business spaces. The system leverages Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) to analyze business type, space dimensions, requirements, budget, and purchasing preferences.
Developed using Python, FastAPI, React, Machine Learning, LLMs, RAG, and vector databases, the system provides personalized recommendations for furniture, equipment, machinery, estimated costs, and retail or wholesale purchasing options. It can also generate conceptual floor-plan layouts based on user-provided dimensions and requirements.
With its integration of Generative AI, RAG, intelligent recommendations, and space planning, AEGIS NEXUS AI simplifies business planning and supports informed decisions on space utilization, resource selection, and estimated investment.
References
Python Software Foundation. Python Documentation, 2024
FastAPI Documentation, 2024
React Documentation, Meta, 2024
PostgreSQL Documentation, 2024
Scikit-learn Documentation, 2024
Goodfellow, I., Bengio, Y., & Courville, A. Deep Learning, MIT Press, 2016
Vaswani, A., et al. Attention Is All You Need, 2017
Lewis, P., et al. Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks, 2020
Brown, T. B., et al. Language Models are Few-Shot Learners, 2020
Machine Learning and AI-Based Recommendation Systems Research Studies, 2023
Refbacks
- There are currently no refbacks.