Step 1: Brainstorming Ideas

Substeps

Step 1 Idea Exploration

What are the types of apps we can build?

The possibilities of types of machine-learning apps to build are infinite! The advent of machine learning/AI technologies makes a lot of things

Things you might want to consider when brainstorming ideas:

Market landscape and differentiation

• Has it been done before?
• Is there a genuine need?

**User experience and accessibility

**Technical complexity and scalability (may want to look through concepts in 2-4 for more understanding of these things)

• Full-stack complexity and scalability
• Ml feasibility
  • Data requirements
  • Scalability
• Latency/performance requirements

Monetization and Business Model

Social impact

Some application areas:

1. Food
2. Shopping
3. Fitness
4. Health
5. Mental health
6. Writing
7. Education
8. Event exploration
9. Home decor
10. Finances/budgeting
11. Creative arts

Some potential ideas (for educational purposes):

Some potential go-to-market ideas:

General Tips

• Focus on user-centric needs when brainstorming features. For example, ask, “What is the simplest functionality that provides value?”.
• Prioritize ideas that leverage existing tools and minimize custom development.
• Leverage ML to diversify and enhance your ideas.