• Gurjant Singh

“SynthoChemAI” is a compound term derived from “Synthesis,” “Chemistry,” and “Artificial Intelligence.” It refers to the application of AI in the field of chemical synthesis, aiming to optimize processes, predict outcomes, and discover new chemical compounds. Synthetic chemistry is undergoing a revolution thanks to the integration of deep learning technologies and artificial intelligence (AI). This is especially true for reaction prediction. In comparison to conventional heuristic methods, this paper examines the notable developments in AI-driven models that improve prediction accuracy and efficiency of chemical reactions. These models speed up drug discovery and materials development by identifying the best reaction pathways by utilising large chemical databases like Reaxys and PubChem. We go over the state of deep learning applications today, including different model architectures and how well they work in practical situations. Nonetheless, there are still problems to be solved, such as interpretability of the model, data quality, and the requirement for integration with experimental chemistry. The paper also discusses upcoming trends that need to be taken into account as AI technologies proliferate, such as hybrid models that incorporate AI with traditional approaches and reinforcement learning. In the end, our work highlights the revolutionary potential of deep learning in synthetic chemistry, opening the door to more effective and inventive research methodologies that have the potential to have a big influence on materials science and global health.

SynthoChemAI, Artificial Intelligence, Deep Learning, Reaction Prediction, Synthetic Chemistry, Drug Discovery, Chemical Databases, Reinforcement Learning.

"SynthoChemAI: Deep Learning In Chemistry For Enhancing Synthetic Pathways Through Al-Based Reaction Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 11, page no.b7-b25, November-2024, Available :http://www.jetir.org/papers/JETIR2411102.pdf

"SynthoChemAI: Deep Learning In Chemistry For Enhancing Synthetic Pathways Through Al-Based Reaction Prediction", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 11, page no. ppb7-b25, November-2024, Available at : http://www.jetir.org/papers/JETIR2411102.pdf