hackathon-project

Accelerating Drug Discovery with Generative AI

---

The process of drug discovery is time-consuming, expensive, and often inefficient, with a high rate of failure in clinical trials. Traditional methods rely heavily on trial and error, requiring years of research and significant financial investment. Additionally, the complexity of biological systems and the vast chemical space make it challenging to identify promising drug candidates efficiently. Generative AI, with its ability to analyze large datasets, predict molecular interactions, and generate novel compounds, has the potential to revolutionize this process. However, there is a lack of accessible, user-friendly tools that leverage generative AI to assist researchers in accelerating drug discovery while reducing costs and improving success rates. Objective: Participants are tasked with creating an innovative, scalable, and user-friendly Drug Discovery Assistant powered by Generative AI. The solution should enable researchers to efficiently identify, design, and optimize potential drug candidates, reducing the time and cost associated with traditional drug discovery methods.