Each submission will be evaluated across multiple dimensions to identify the most innovative, impactful, and feasible AI-powered solutions addressing our healthcare challenges.

Innovation & Technical Excellence
25%

Evaluates the uniqueness and technical sophistication of the AI solution compared to existing healthcare approaches.
  • Novel application of AI/ML technologies
  • Technical sophistication and quality of algorithms
  • Advances beyond current healthcare solutions
  • Innovative use of data and analytics

Healthcare Impact
25%

Assesses the potential of the solution to address significant healthcare challenges effectively.
  • Demonstrated clinical value and health outcomes
  • Addresses critical healthcare needs
  • Potential for improving patient care quality
  • Impact on healthcare accessibility or efficiency

Implementability & Feasibility
20%

Evaluates whether the solution can be realistically implemented in healthcare settings.
  • Technical feasibility and readiness level
  • Integration with existing healthcare systems
  • Consideration of regulatory requirements
  • Practical implementation roadmap

Scalability & Adoption
15%

Assesses how well the solution can scale across healthcare environments.
  • Potential for widespread clinical adoption
  • Cost-effectiveness and resource efficiency
  • Business model and sustainability
  • Adaptability across different healthcare settings

Presentation & Demo
10%

Evaluates how well the team communicates and demonstrates their healthcare AI solution.
  • Clear demonstration of AI functionality
  • Quality of data visualization and UX/UI
  • Compelling presentation of clinical applications
  • Technical explanations and Q&A responses

Ethics, Privacy & Safety
5%

Assesses the solution's ethical considerations, data privacy practices, and patient safety.
  • Data privacy and security measures
  • Bias detection and mitigation strategies
  • Explainability of AI decision-making
  • Consideration of patient safety and ethical use

Project Categories

Medical Diagnostics & Imaging

Focus: AI-driven diagnostics, medical imaging analysis, early disease detection.

Personalized Medicine & Genomics

Focus: AI-powered treatment recommendations, genetic data analysis, precision medicine.

Telemedicine & Remote Care

Focus: Virtual health consultations, AI-powered patient monitoring, digital health platforms.

Healthcare Accessibility & Equity

Focus: AI solutions for underserved communities, cost-effective medical tech, inclusive healthcare.

Mental Health & Wellbeing

Focus: AI chatbots for mental health, stress detection tools, wellness tracking apps.

Drug Discovery & Biomedical Research

Focus: AI-assisted drug development, bioinformatics, accelerating medical research.

Hospital Automation & Smart Healthcare Systems

Focus: AI-powered scheduling, predictive analytics for patient care, automated hospital operations.

Wearable Health Tech & IoT

Focus: Smart health monitoring devices, AI-driven fitness tracking, real-time health analytics.

Health Data Security & Privacy

Focus: AI-driven cybersecurity, patient data protection, secure digital health records.

AI in Medical Training & Education

Focus: AI-powered simulations, VR/AR medical training, automated learning tools for healthcare professionals.

Judging Process

Teams will present their projects to a panel of judges consisting of healthcare professionals, AI/ML experts, medical researchers, and healthcare technology innovators. Each team will have 10 minutes to present, followed by a 5-minute Q&A session. Judges will score each project based on the criteria above, and winners will be announced at the closing ceremony.