𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗠𝗼𝗻𝗲𝘁𝗶𝘇𝗮𝗯𝗹𝗲 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀: 𝗙𝗿𝗼𝗺 𝗖𝗼𝗻𝗰𝗲𝗽𝘁 𝘁𝗼 𝗥𝗲𝘃𝗲𝗻𝘂𝗲

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗠𝗼𝗻𝗲𝘁𝗶𝘇𝗮𝗯𝗹𝗲 𝗔𝗜 𝗧𝗼𝗼𝗹𝘀: 𝗙𝗿𝗼𝗺 𝗖𝗼𝗻𝗰𝗲𝗽𝘁 𝘁𝗼 𝗥𝗲𝘃𝗲𝗻𝘂𝗲

You want to build an AI tool to make money. Do not start with the code. Start with a problem.

Find your niche.

• Find a specific pain point.
• Define your ideal customer.
• Check if the market is big enough.

Example: Instead of a general image tool, build one for e-commerce product photos.

Pick your technology.

• Use Machine Learning for predictions.
• Use Deep Learning for complex patterns.
• Use Python for coding.
• Use AWS or Google Cloud for hosting.

Focus on data.

• Get clean data.
• Fix missing values.
• Use data augmentation to grow your set.

Develop your model.

• Choose an architecture.
• Train the model.
• Test it using accuracy metrics.
• Refine the results.

Deploy the tool.

• Use APIs to let users access the tool.
• Use Docker to keep environments the same.
• Set up auto-scaling for more users.

Create a revenue stream.

• Tiered subscriptions for different features.
• Pay-per-use for specific tasks.
• Freemium to get people started.

Maintain the product.

• Monitor system health.
• Ask users for feedback.
• Retrain the model with new data.

Source: https://dev.to/techblogs/building-monetizable-ai-tools-from-concept-to-revenue-2fh7 Optional learning community: https://t.me/GyaanSetuAi