The problem DrugDiscovery solves

DrugDiscovery addresses the need for a comprehensive, intuitive platform to simplify molecular research and enhance collaboration. Researchers and developers often struggle with the complexity of molecular structures, the intricacies of designing novel molecules with SMILES notation, and the inefficiencies in team communication. Traditional methods are time-consuming and lack the AI-driven tools and real-time collaboration needed for more effective research.

With DrugDiscovery, users gain access to:

Instant molecular visualization using RDKit integration, enabling clear insights into molecular properties and interactions.
Streamlined molecule generation via SMILES notation, supported by AI-powered suggestions for viable structures, facilitating breakthroughs in drug discovery and chemical synthesis with high precision.
Real-time group messaging for collaborative research, allowing teams to easily share findings, brainstorm ideas, and make informed decisions together.
A secure, modern user interface with advanced authentication, verification, and contemporary UI/UX design, ensuring data safety and an intuitive user experience.
DrugDiscovery consolidates visualization, molecule generation, and team collaboration into one cohesive platform, accelerating research, supporting better decision-making, and fostering collaborative scientific advancement.

Challenges we ran into

During the development of our project, we encountered significant challenges. Integrating AI models to effectively work with SMILES strings and produce the desired outcomes required considerable effort and troubleshooting. Additionally, rendering molecules and compounds using RDKit.js presented its own set of obstacles, often requiring us to explore multiple workarounds to achieve the accurate and reliable visuals we needed. These issues tested our persistence, but they also deepened our understanding and resilience in navigating complex project demands.