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DX uses computer vision and NLP to detect and extract data from diverse texts

#logistics, #ML/AI

CHALLENGE

The client faced the challenge of using multiple document types for various business scenarios, which led to the need to digitize all paper documents and organize them based on client details.

CLIENT

A company involved in warehousing and inventory management.

TECHNOLOGY

Python, PyTorch, TensorFlow, OpenCV, NumPy, Pandas
Front End: Axios, Core-js, Vue.js, Vue-pdf, Vue-router, Babel-eslint, Eslint
Back End: MySQL, Flask, Img2pdf, Dicttoxml, Pdf2image

TEAM

Skilled software developers who possessed extensive knowledge and expertise Artificial intelligence and Machine learning

INDUSTRY

Logistics

SOLUTION

The client collaborated with Muteki Group to develop an AI solution using Computer Vision and NLP technologies to recognize various documents and extract necessary information by fields.The solution aimed to convert paper documents into digital format and sort them according to client specifications. It could identify different document types and extract relevant information from specific fields, significantly improving the extraction process's accuracy and efficiency.

IMPACT

Upon completion of the project, the client got
●project was completed successfully within the designated timeline
●achieving an accuracy rate of 87% in the text extraction process
●the client was fully satisfied with the outcomes

WE ARE EAGER TO APPLY OUR EXPERIENCE TO HELP YOUR BUSINESS GROW

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女性のための技術コンサルティング

Muteki Groupは、ソフトウェア開発企業であり、8年間でスタートアップや企業向けに100以上のAIプロジェクトを実行し、成功してきました。80名以上のメンバーで構成されるプロフェッショナルチームはプロジェクトの全段階をカバーします。拠点はウクライナ、ポーランド、エストニア、日本、カナダ、アラブ首長国連邦にあります。

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