Paper Title
DEEP-CHEM: AN AI-POWERED TOOL FOR AUTOMATED RECOGNITION OF CHEMICAL STRUCTURES AND COMPARATIVE TOXICITY PREDICTION BETWEEN POLYCYCLIC AROMATIC HYDROCARBON COMPOUNDS

Abstract
Abstract - Deep Chem is a comprehensive tool developed by our team to provide detailed information on various properties of chemical structures. The tool is designed to be user-friendly and accessible to chemists of all levels, with a focus on accuracy and reliability. In addition to analyzing chemical structures uploaded by the user, Deep Chem also has the ability to recognize structures from the chemical literature. One of the key features of Deep Chem is its ability to determine important properties of chemical structures such as molar mass, molecular formula, boiling point, and melting point. This information is essential for chemists in a variety of fields, from pharmaceutical research to environmental science. Another unique feature of Deep Chem is its ability to take an image of a chemical structure in PNG or JPG format. This means that users can simply draw the structure of a compound on paper and feed it to the tool by taking a picture. This feature eliminates the need for manual input of structures, saving time and effort. Deep Chem also includes a toxicity measure for Polycyclic aromatic hydrocarbons (PAHs), which are compounds found in many environmental pollutants. PAHs are known to be harmful to human health, and the ability to accurately measure their toxicity is crucial for research in this area. In addition to providing detailed information on chemical properties, Deep Chem also has a range of features that make it easy to work with different file types and programs. The tool can provide chemical structures in different formats, including. mol, .pdb, and .stf, which can be useful for chemists who need to work with different software tools. The user interface of Deep Chem is intuitive and easy to navigate, making it accessible to chemists with different levels of expertise. The tool is web-based, which means that it can be accessed from anywhere with an internet connection. This feature is particularly useful for researchers who need to collaborate with colleagues in different locations. Deep Chem also includes a range of customization options that allow users to tailor the tool to their specific needs. For example, users can choose the level of detail they want to see for each property, or select specific units of measurement. To ensure accuracy and reliability, Deep Chem has been extensively tested and validated against known chemical structures. The tool is continuously updated with new data and features, ensuring that it remains a valuable resource for chemists around the world. Overall, Deep Chem is a valuable tool for chemists who need accurate and reliable information on the properties and structures of chemical compounds. Its user-friendly interface, customization options, ability to work with different file types, recognition of structures from chemical literature, and ability to take chemical structure images make it a versatile and essential tool for researchers in a variety of fields. Keywords - Deep Chem, chemical structures, molar mass, molecular formula, boiling point, melting point, toxicity measure, Polycyclic aromatic hydrocarbons, Neural networks, chemical structure recognition