🌍 Step 1: Observe the World Around You
Start by exploring your home, school, community, or even news stories. Look for areas where automation, sensing, or mobility could help. Write down anything that seems inefficient, repetitive, dangerous, or simply annoying.
Examples of problems from different regions:
- Asia: Water wastage in homes due to forgotten taps
- Africa: Lack of access to timely crop health monitoring
- Western countries: Delivery packages left unattended and stolen
- Global: Elderly people forgetting medication times
- Urban areas: High pollution areas without real-time data sharing
🧠 Step 2: List Multiple Solutions
Once you identify problems, brainstorm multiple solution paths for each one—manual and robotic. Consider both low-tech and high-tech solutions.
Example – Problem: Forgotten medication by elderly
- Use a simple alarm clock with labels (manual)
- Install a voice reminder system in the room
- Use a mobile app with scheduled notifications
- Robotic solution: A robot that speaks reminders, shows messages, and dispenses pills
- Connect medicine box to Google Assistant or Alexa
🚫 Step 3: Eliminate Weak Solutions
Evaluate each solution for practicality, cost, technical feasibility, and impact. Eliminate ones that:
- Require very advanced skills or hardware beyond your reach
- Do not solve the problem effectively
- Already exist as mature products unless your version is significantly better or cheaper
In our example: The mobile app idea already exists in many forms, and voice reminders without interaction may not be enough. But a small robot that interacts and dispenses medicine could be impactful and feasible.
✅ Step 4: Select Your Final Idea
From your refined list, pick 1–2 ideas to develop further. The best ideas:
- Solve a real and recurring problem
- Can be prototyped using tools like Arduino, Raspberry Pi, or other kits
- Offer room for creativity, personalization, or scalability