AQSA: AI for Startups

Designed by Mohamed Yosef
Publication
ResearchGate

Abstract

AQSA is a comprehensive AI-driven solution for startups and small businesses. We created AQSA with a goal to reach the gap between research and real-world applications. Our project contains three components, each designed to address critical challenges in business world.The first component is a generative chatbot, capable of of answering queries related to various aspects of the startup ecosystem, including other parts of the project and general principles of project management. The second part focuses on automated data analysis, using preprocessing and machine learning techniques to extract meaningful insights from raw data-enabling startups to make better decisions. Lastly, the third component is the forecasting module, which combines historical data, market trends, and external factors like US dollar verses EG pound change rates and oil prices to generate reliable predictions for sales or interest rates in the next month or year. So, you can say that AQSA aims to provide information, enhance decision-making, and foster innovation within the startup ecosystem.

Mohamed Yosef
Mohamed Yosef

A Data Scientist and Researcher, focusing on deep reinforcement learning and human-AI interaction.

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