Actual costs and man-hours involved in developing AI apps

programming

Many people want to develop an AI app, but are worried because they don't know the costs or labor involved.
Costs will vary greatly depending on whether you outsource the development or do it yourself.

In this article,A thorough explanation from a professional perspective on the average cost and development time required for AI app developmentI will.
moreover,Examples by function and size, how to think about estimates, and points to note during developmentWe have also summarized the above.
By reading this, you will be able to develop AI efficiently and without waste.

What is the average cost of developing an AI app?

Conclusion: The cost of developing an AI app can range from hundreds of thousands of yen to tens of millions of yen.

The reason is that it varies greatly depending on the type and scale of the app, the systems it connects to, and the AI it uses.

Specific price range examples (guideline)

  • Chatbot app (API usage): Approx. JPY 300,000 to JPY 800,000
  • Facial recognition app: Approx. 1-3 million yen
  • Notes app with voice recognition: Approx. 1.5 million to 5 million yen
  • E-commerce app with recommendation function: 5 million yen or more

Estimated man-hoursAlso:

  • Small scale (1-2 months)
  • Medium (3-6 months)
  • Large scale (6 months to 1 year or more)

Reference data: Ministry of Economy, Trade and Industry "Survey on IT Human Resources Supply and Demand" (https://www.meti.go.jp/policy/it_policy/jinzai/houkokusho.pdf)

Development process and required tasks

AI app development can be divided into the following steps:

  • requirements definition
  • Design
  • Model selection and training
  • Implementation (back-end/front-end)
  • Testing and Debugging
  • Operation/improvement

The most labor-intensive and cost-intensive part of this is "selecting and training the AI model."

3 common development patterns

① ChatGPT API integration

  • Reference price: From about 300,000 yen
  • Technology used: Python / Flask / OpenAI API
  • Man-hours: Approximately 1 man-month

② Image recognition app (TensorFlow)

  • Reference price: around 1.5 million yen
  • Technologies used: TensorFlow / Keras / Swift
  • Man-hours: 2-3 man-months

③ LINE-linked chatbot

  • Reference price: 400,000 to 1,000,000 yen
  • Technology used: LINE Messaging API / Node.js
  • Man-hours: 1 to 1.5 man-months

Common stumbling points during development

  • The model accuracy is lower than expected
  • GPU training is expensive
  • Errors in data formatting and normalization
  • API Limits/Rate Limits

solution

  • The model actively utilizes existing APIs
  • Use Colab instead of learning locally
  • Start with a small sample

Simple example of AI implementation using Python and Flask

from flask import Flask, request, jsonify import openai app = Flask(__name__) openai.api_key = "your_api_key" @app.route("/ask", methods=["POST"]) def ask(): question = request.json.get("question") response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[{"role": "user", "content": question}] ) return jsonify({"answer": response.choices[0].message.content}) if __name__ == "__main__": app.run()

summary

The development costs and labor hours for an AI app vary greatly depending on the purpose and functions.

In particular, when using generative AI such as ChatGPT,API usage feesbut alsoResponse speed and user experienceshould also be considered.

Also, if you are not familiar with development,Use existing APIs and libraries to try out simple functionsSo,
You can avoid wasting money and time.

Here are some points to remember:

  • Small-scale businesses can start with just a few hundred thousand yen.
  • The estimated man-hours are one to several man-months.
  • Cost reduction possible by using ChatGPT API etc.
  • Implementation is surprisingly easy if you use Python or Flask
  • Even beginners can apply it from the sample code

If you are unsure, it is best to consult with a professional engineer for a quote.

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