MindCraft

Model is ready to be put into production and used for document classification, we received 99% of accuracy on the training data and around 90% on the test datasets

Benefits you'll get with this Engine:

• Classifying dozens of different document categories.
• Classification and recognition of handwritten documents and mixed-type document
• A system could automate various document processing

tasks which are now performed manually

If you are looking to build an AI & ML solution like this, contact us [email protected]

Technologies used:

Subject: Automated Document Classification with Machine Learning, Data extraction
Data Science areas: Natural Language Processing, Computer vision, Optical Character Recognition
Architectures: Logistic Regression, Random Forests
Tools: Python, Tensorflow, Sklearn, Tesseract

A Machine Learning system we developed for the customer can help achieve a significant Inventory Turnover Ratio and thus increase revenue per dollar invested in stock items

Benefits you'll get with this Engine:

• This approach applies to any retail business.
• Predict sales of any product in stock and boost the general Business Intelligence.
• The Inventory Turnover Ratio of 80% in two

weeks. 

If you are looking to build an AI & ML solution like this, contact us [email protected]

We managed to create a business intelligence system that not only predicts the prices of products but also measures its own accuracy

Benefits you'll get with this Algorithm: 

• Almost 95% of average relative accuracy for product pricing.
• Keep the error rate to the minimum
• Opportunity use engine in other domains, Retail, E-commerce, hospitality
• Individual engine development under

the business client.

If you are looking to build an AI & ML solution like this, contact us [email protected]

Technologies used:

Subject: Price Prediction Software, Prediction Accuracy Evaluation, Deep Learning
Data Science areas: Feature Analysis, Estimators, Machine Learning
Architectures: Linear Regression, Boosting Regressors, Deep Neural Networks
Tools: Python, Tensorflow, Sklearn

Subject: Automated Document Classification, Document Capturing, Data Extraction, AI Document Recognition
Business Areas: Banking, FinTech, Retail
Data Science Areas: Computer Vision, Machine Learning
Tools: Python, Tensorflow, Sklearn, Tesseract

MindCraft helped to automate the document capture and recognition for a client in the Banking industry using AI Document Recognition Software. The system can process documents for any domain and containing any kind of content, from handwritten text to fields and tables.