Objective: To equip participants with foundational knowledge and practical skills in AI, focusing on its application to global nutrition challenges.

Brief: This component comprises a series of interactive online sessions spanning three days, designed to immerse students in the field of AI and its potential for social good. Through engaging lectures by experts, hands-on workshops, and collaborative project development, participants will:

  1. Gain an understanding of AI concepts and technologies.
  2. Explore real-world case studies where AI has been applied to improve nutritional outcomes.
  3. Work in teams to devise innovative AI solutions aimed at addressing specific nutritional issues, guided by mentors from      the tech and nutrition sectors.

Key Features:
  1. Live and recorded sessions for flexible learning.
  2. Interactive Q&A and discussion forums.
  3. Team-based projects with mentorship support.

  1. Prestigious institutions and industry leaders lead lectures and workshops. Information on lecturers will be provided              once determined

| 12-18 Youth Group |

Day 1: Introduction to AI and Its Impact on Health (3 hours)
  • Understanding AI Basics (45 minutes): Simplified explanations of AI concepts, how AI systems learn, and real-life examples relevant to their age group.
  • AI’s Role in Health (45 minutes): Interactive discussion on AI's potential to solve health issues, focusing on relatable examples.
  • AI and Nutrition (30 minutes): Engaging stories showing how AI contributes to better nutritional outcomes globally.
  • Break and Interactive Q&A (30 minutes distributed): Short breaks with a fun, interactive Q&A to reinforce learning and encourage curiosity.
Day 2: AI Tools in Action (3 hours)
  • Exploring AI Tools (1 hour): A hands-on, guided activity using simple AI tools or simulations suitable for their technical skill level.
  • AI for Good (45 minutes): Discussion on ethical AI use and brainstorming how AI can help their community.
  • Group Brainstorm (45 minutes): Facilitated session to come up with ideas for using AI to solve a nutrition problem.
  • Breaks and Recap (30 minutes distributed): Breaks with a recap activity to summarize the day's learning.
Day 3: Bringing Ideas to Life (3 hours)
  • Project Time (1 hour): Teams refine their AI nutrition project ideas with mentor guidance.
  • From Idea to Prototype (45 minutes): Workshop on turning ideas into plans or simple prototypes, with tools adapted for their understanding.
  • Project Showcase (45 minutes): Teams present their ideas, receiving constructive feedback.
  • Closing (30 minutes): Wrapping up with a motivational talk on continuing their AI journey beyond the camp.


1. Certificate of Participation: Receive a prestigious certificate highlighting your involvement and achievements in the camp, 
    a valuable addition to college applications and portfolios.

2. Hands-On Learning Experience: Engage in interactive sessions and workshops that make learning AI both fun and     
    insightful, setting a strong foundation in technology and innovation.

3. Mentorship from Experts: Gain guidance and insights from professionals in AI and global health, providing a rare 
    opportunity to learn from the best in the field.

4. Collaboration on Real-World Projects: Work on team projects addressing global nutrition challenges, developing 
     teamwork, problem-solving skills, and a sense of global citizenship.

5. Exposure to Global Perspectives: Connect with peers from around the world, enhancing cultural understanding and 
    building an international network of friends and future collaborators.
6. Insight into College and Career Paths: Learn about the various educational and career opportunities in AI and technology, 
     inspiring future academic and professional pursuits.


| College Students |

Day 1: Advanced AI in Global Health (3 hours)
  • Deep Dive into AI (1 hour): Detailed overview of AI technologies and their foundations, tailored to those with a basic understanding.
    AI's Impact on Global Health 
    (45 minutes): In-depth analysis of AI solutions in global health challenges, including cutting-edge research.
    Case Studies: AI and Nutrition
     (45 minutes): Examination of successful AI applications in nutrition, with a focus on data-driven outcomes.
    Break and Interactive Session 
    (30 minutes distributed): Interactive session for in-depth questions and networking among participants.
Day 2: Technical Workshop on AI Tools (3 hours)
  • AI Tools Workshop (1.5 hours): Advanced workshop introducing machine learning, data analysis techniques, and hands-on practice with AI tools.
    Applying AI in Nutritional Interventions 
    (45 minutes): Strategic discussion on implementing AI solutions in real-world nutritional programs.
    Idea Development 
    (45 minutes): Structured brainstorming session to identify innovative AI solutions for nutritional issues.
    Breaks and Group Discussion 
    (30 minutes distributed): Time for networking and group discussion to share insights and ideas.
Day 3: Project Development and Professional Presentation (3 hours)
  • Project Development (1 hour): Teams work on developing their AI project ideas, focusing on application and feasibility.
    Workshop: Prototyping Your Idea 
    (1 hour): Intensive session on creating prototypes or detailed project plans, considering scalability and impact.
    Final Presentations
     (45 minutes): Formal presentations of projects to a panel for feedback, with a focus on clarity, impact, and innovation.
    Closing and Next Steps 
    (15 minutes): Closing remarks encouraging continued exploration of AI and nutrition, with guidance on pursuing projects further.


1. Advanced Workshop Content: Access to more complex and detailed content tailored to your academic background, 
    enhancing your knowledge and skills in AI and its application in global health.

2. Networking Opportunities: Meet industry leaders, experts, and fellow innovators, expanding your professional network and 
     opening doors to internships, job opportunities, and collaborations.

3. Certificate of Advanced Participation: Obtain a certificate that not only showcases your participation but also your 
    capability to tackle advanced projects, an impressive addition to resumes and LinkedIn profiles.

4. Real-World Project Experience: Dive deeper into project development, from ideation to prototyping, gaining practical 
     experience that can be directly applied in your studies or future job roles.

5. Leadership and Initiative Showcase: Present your projects to a panel of experts, honing your presentation skills and 
     showcasing your initiative and leadership in solving real-world problems.
6. Guidance on Graduate Studies and Careers: Receive advice and insights on pursuing further studies or careers in AI, public      health, and related fields, including potential scholarships and research opportunities.