Chem Pad: An AI Web-Based Chemistry Modeling Platform

Existing chemistry drawing applications often lack modern web integration, intuitive interfaces, and efficient manipulation features, making them less accessible and user-friendly. These limitations hinder accurate chemical structure visualization and editing, especially for students and researchers. Chempad focuses on developing a new web-based chemistry drawing tool that will make chemical structure visualisation and manipulation more effective and accurate. Old-fashioned chemical drawing apps usually do not have any modern web integration and user-friendly interfaces, which are their main flaws. These shortcomings reduce the usability and accessibility of such applications making it difficult for students or scientists to visualise the chemical structure correctly. This tool should address the above problems by embedding modern web technologies and focusing on users in its design. This tool incorporates modern web technologies into this program to create an interface supporting efficient creation, modification, and analysis of chemical compounds. Basic features like generating primary chemical structure, adaptation of the structure as well as exporting it as an image for better functionality are part of the initial implementation. Additionally, Chempad incorporates AI-driven structure recognition, allowing users to receive real-time feedback, correct errors, and improve the accuracy of drawn chemical structures. Preliminary testing has demonstrated Chempad's ability to generate accurate chemical structures with extensive adaptability, high user satisfaction, and AI-powered assistance, showcasing its potential as a reliable tool for academic and professional applications.