Step 1: Brainstorming Ideas
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:
- Food
- Shopping
- Fitness
- Health
- Mental health
- Writing
- Education
- Event exploration
- Home decor
- Finances/budgeting
- 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.