Instanalytics : AI Powered Data Analysis

Abstract

In today’s data-driven world, the ability to derive meaningful insights from data is paramount for informed decision-making. However, this task often remains a challenge for non-technical individuals, including businesses and personal users, due to the complexity of data analysis techniques and tools. This project addresses this challenge by developing a user-friendly web-based platform that empowers non-technical users to upload diverse datasets and perform in-depth analysis using both traditional statistical methods and advanced deep learning models. The platform offers a customizable analysis experience, allowing users to select specific features for analysis and exploration while providing automated suggestions for feature selection through the integration of artificial intelligence (AI) algorithms. Leveraging cloud computing infrastructure, particularly Amazon Web Services (AWS), ensures scalability and efficient storage and processing of data. Key features of the platform include a friendly user interface built with modern web technologies, dynamic data handling capabilities for preprocessing and transformation of diverse data formats, and robust security measures to safeguard user data and privacy. Initial testing and validation ensure the accuracy and reliability of analysis results, while ethical considerations guide the responsible use of data. Through this project, non-technical users can gain valuable insights from their data without the need for specialized expertise, fostering a culture of data-driven decision making and empowering individuals and businesses to thrive in the digital age.