(Max: 200 words)

• Summarize your proposed solution. (Provide a high-level explanation of how your solution works.)
• What makes your solution unique or innovative? (Highlight creative elements, technical innovations, or a novel approach.)

(Max: 250 words)

• Describe the core technology stack used. (Include Raspberry Pi models, sensors, software tools, and any additional components.)
• How will your solution function technically? (Explain how the system works step by step, from data collection to output.)
• What are the key technical challenges, and how do you plan to overcome them? (Address any known limitations and how you mitigate them.)

(Max: 150 words)

• How does your solution effectively use Raspberry Pi and affordable components? (Explain why Raspberry Pi is a good fit and how costs are kept low.)
• What is the estimated cost of a prototype? (Provide a rough cost breakdown.)

(Max: 150 words)

• How can this solution be expanded or adapted for wider use? (Can it work in different environments or be improved over time?)
• Would this solution require significant modifications for other users? If so, what kind?
  

 (Max: 150 words)

• How will users interact with your solution? (Provide details about user interfaces, inputs, outputs, or any required training.)
• How does your solution ensure accessibility for different types of users? (Consider skill level, location, language, or device access.)​

 (Max: 150 words)

• How will you test your solution during the hackathon? (Explain how you will demonstrate its functionality.)
• What are your success criteria? (What results or performance benchmarks will indicate that your prototype is working effectively?)​

• Provide a short video summary of your final pitch. (This should be a clear, concise elevator pitch that explains your solution)
• Attach any supporting materials. (Diagrams, videos, or additional documentation to help explain your concept.)

(Max: 100 words)

• Does your solution have an extra feature that enhances its impact? (Examples: Real-time notifications, machine learning insights, visual analytics, gamification, etc.)