Terminé

Telegram bot OCR using google cloud vision API

I want a python app can run a Telegram bot on my Raspberry pi 3, using Google Cloud Vision API to detection text fr a photo (OCR). Require is simpls, when I send a photo to my Telegram bot, it will reply with any text on the photo.

Compétences : Python

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Concernant l'employeur :
( 0 commentaires ) Ho Chi Minh City, Vietnam

Nº du projet : #27881878

Décerné à:

tamvannguyen

Hi, thanks for your posting. I see you want to build a Telegram bot OCR using Google Cloud Vision API. I'm Python/Machine Learning expert with rich experiences so I can help you well. I have experience with Telegrame b Plus

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(23 Commentaires)
4.2

7 freelances font une offre moyenne de 210 $ pour ce travail

oleksiilihai

How are you? I have 8+ years of experience in C#/C++/JAVA programming. I have read your project description fully. I can understand and finish it wonderfully. I guarantee high project development and quality as a senio Plus

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(4 Commentaires)
3.8
Shivaaay

Hello there I can make you a telegram bot in python and integrate Google Cloud Vision API with it. I can start right now. I'm an experienced python developer and have made many telegram bots which are live rn. Thanks

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(0 Commentaires)
0.0
iamshobhitag

Hi, Greetings of the day!!! 1.) I am currently working in an automation team, where I automate things of the repetitive daily tasks and the cost cutting part. 2.) I have a great exposure in python with more than 2.5+ Plus

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(0 Commentaires)
0.0
andheroe

Hey, I have extensive experience with Telegram bots ([login to view URL]). I've never used Google Cloud Vision API but if it has documentation that' Plus

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(0 Commentaires)
0.0
nasirlancer1

Hello, I've good experience a python/ocr development for 2+ years. Also have deep knowledge with RaspberryPI 3 python and Google service. Now, I saw your proposal, and I can do that in 1 week. Your description is so cl Plus

%bids___i_sum_sub_35% %project_currencyDetails_sign_sub_36% USD en 7 jours
(0 Commentaires)
0.0
kayfonlee

Already done, you could have a look at this, demo: [login to view URL] The speed is about 5~6sec per image, u Plus

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0.0