We make successful digital experiences

See how Silwatech has helped its clients achieve their vision of digital innovation.

AI-Enhanced OCR Feature Development

Our client, a leading real estate company, seeks to enhance its custom Enterprise Resource Planning (ERP) web application with an advanced Optical Character Recognition (OCR) feature. The primary goal is to automate the extraction of invoice data and streamline document processing within the application. The integration with Docuware and the Meylly addon for PDF upload and management further emphasizes the need for efficient OCR capabilities.

 

Mobile Application For Antigen Testing Viral Load

The project aims to develop a mobile application utilizing computer vision and machine learning techniques to automate antigen testing for viral load. Specifically, the application focuses on identifying COVID-19 test strips from images, detecting the location of COVID-19 results on various types of test strips, and accurately determining whether the person is COVID-19 positive or negative.

Optimize Content – AI-Powered SEO Content Creator

Optimize Content is an AI-powered SEO Content Creator that utilizes advanced technologies such as Generative AI and LLM (Large Language Model) to optimize content creation for search engines. By employing various AI techniques, including AI Text Analysis, NLP (Natural Language Processing) for Sentiment Analysis and Semantic Analysis, and AI Keywords Recommendation, Optimize Content aims to enhance search engine visibility and user engagement with SEO-optimized, high-quality content.decisions and drive growth.

Algorithma

Algorithma is an AI-based business intelligence software that leverages advanced technologies such as Generative AI and LLM (Large Language Model) for comprehensive data analysis, report generation, and natural language-based insights. It is designed to empower businesses with advanced analytics capabilities to make informed decisions and drive growth.

 

Resume Parser

Aims to develop a resume parser using computer vision techniques to analyze and extract information from resumes or CVs. The goal is to convert unstructured resume data into a structured format, such as XML and JSON, making it machine-readable. By doing so, the project intends to facilitate the efficient management of electronic resumes for recruiters, enabling them to extract essential information like contact details, work experience, educational background, and skill sets in an intelligent manner.