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vmarius

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AFAIK Tesseract is trained to recognize characters and uses a bunch of steps to prepare image for recognition. Steps like removing noise, fixing contrast and resizing.

It means that it performs not-so-good when for example image contains black text and white text on green background since this is not "normalized" through image preparation steps and it cannot detect white text on green background (but you can do it yourself)

1) physically impossible - large distances, time consuming, fear

2) it is hard to discuss many (if not most) personal issues in personal or in group meetings. Suicidal thoughts, depression, life advice - you cannot simply go out there and discuss all these during your first/tenth meeting with a person in private.

Thanks furi, good point. Humans indeed talked to each other and have done things together since the dawn of time. But the problem is that our way of living has changed significantly during recent years.

Most of the people simply don't have the possibility to gather around and talk about their life/problems. It is becoming a luxury to have a live talk with a real person.

I am sure that the above mentioned organization is doing great job helping people, but the answer to your question why it is not scalable is that such approach can help only to a very limited amount of people. Why ?

Because: - meeting in person is not always possible - meeting in persion is not always desirable - it is limited only to local areas