# Case Studies

## Filters

- [Angular.js](/case-studies/angularjs.md)
- [ASP.NET](/case-studies/aspnet.md)
- [AWS](/case-studies/aws.md)
- [CatBoost](/case-studies/catboost.md)
- [Celery](/case-studies/celery.md)
- [Chroma](/case-studies/chroma.md)
- [CLIP](/case-studies/clip.md)
- [Dart](/case-studies/dart.md)
- [Docker](/case-studies/docker.md)
- [Ecology](/case-studies/ecology.md)
- [EdTech](/case-studies/edtech.md)
- [ElasticSearch](/case-studies/elasticsearch.md)
- [FastAPI](/case-studies/fastapi.md)
- [Figma](/case-studies/figma.md)
- [FinTech](/case-studies/fintech.md)
- [Firebase](/case-studies/firebase.md)
- [Flutter](/case-studies/flutter.md)
- [HealthTech](/case-studies/healthtech.md)
- [IPFS](/case-studies/ipfs.md)
- [IT Consultation](/case-studies/it-consultation.md)
- [Java](/case-studies/java.md)
- [JavaScript](/case-studies/javascript.md)
- [Kotlin](/case-studies/kotlin.md)
- [LLM](/case-studies/llm.md)
- [LongChain](/case-studies/longchain.md)
- [Machine Learning](/case-studies/machine-learning.md)
- [Marketing](/case-studies/marketing.md)
- [Milvus](/case-studies/milvus.md)
- [Mobile App](/case-studies/mobile-app.md)
- [MongoDB](/case-studies/mongodb.md)
- [MySQL](/case-studies/mysql.md)
- [New Relic](/case-studies/newrelic.md)
- [NLP](/case-studies/nlp.md)
- [OpenSearch](/case-studies/opensearch.md)
- [Pandas](/case-studies/pandas.md)
- [PostgreSQL](/case-studies/postgresql.md)
- [Prototype](/case-studies/prototype.md)
- [Publishing](/case-studies/publishing.md)
- [Python](/case-studies/python.md)
- [PyTorch](/case-studies/pytorch.md)
- [React.js](/case-studies/reactjs.md)
- [Redis](/case-studies/redis.md)
- [Retail](/case-studies/retail.md)
- [SaaS](/case-studies/saas.md)
- [Scrapy](/case-studies/scrapy.md)
- [Selenium](/case-studies/selenium.md)
- [Sklearn](/case-studies/sklearn.md)
- [Special proxy servers](/case-studies/special-proxy-servers.md)
- [SQL](/case-studies/sql.md)
- [SqlKata](/case-studies/sqlkata.md)
- [SQS](/case-studies/sqs.md)
- [Swift](/case-studies/swift.md)
- [TYPO3](/case-studies/typo3.md)
- [Vue.js](/case-studies/vuejs.md)
- [WCAG](/case-studies/wcag.md)
- [Web App](/case-studies/web-app.md)

## Case Studies

### [SwatchPAY!](http://silkdata.tech/case-studies/swatch-pay.md)

Our client Swatch wanted to launch a line of watches with payment feature and supporting application. Silk Data helped to create mobile application to control, organize, and enjoy payments with them.

*Categories: Figma, Firebase, Kotlin, Swift, FinTech, Mobile App*

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### [Communal Service](http://silkdata.tech/case-studies/communal-service.md)

The application with a pickup calendar and a recycling centre search that decreased processing time of any request by 20% during the first four months.

*Categories: Firebase, TYPO3, Ecology, Mobile App*

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### [Large-Scale Image Search System](http://silkdata.tech/case-studies/large-scale-image-search-system.md)

A story about how we created a search for NFTs and tested it on at least 6 million of indexed pictures.

*Categories: AWS, Celery, CLIP, Docker, ElasticSearch, FastAPI, IPFS, Milvus, NLP, OpenSearch, PostgreSQL, Python, PyTorch, Redis, SQS, FinTech, Publishing, Machine Learning, Web App*

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### [Predictive Analytics](http://silkdata.tech/case-studies/predictive-analytics.md)

By utilizing cutting-edge Machine Learning algorithms and Predictive Analytics based on consumer data, Silk Data assists its clients in maximizing their businesses.

*Categories: CatBoost, Pandas, Python, Sklearn, SQL, FinTech, Retail, Marketing, Machine Learning, Prototype*

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### [Web Crawling](http://silkdata.tech/case-studies/web-crawling.md)

With our web crawling technology, large data sets can be extracted and cleaned up in a few hours.

*Categories: Docker, Java, MySQL, Pandas, Python, Scrapy, Selenium, Special proxy servers, Retail, Marketing, Web App*

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### [Waste Removal Calendar](http://silkdata.tech/case-studies/waste-removal-calendar.md)

The municipal organization from Switzerland wished to embetter household waste management. Silk Data created a mobile application to track and manage garbage bin emptying schedules and locations.

*Categories: Dart, Flutter, Ecology, Mobile App*

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### [wearonize](http://silkdata.tech/case-studies/wearonize.md)

Mobile application for paying with wearables - how we helped make the wearable payments application that attracted new customers.

*Categories: Figma, Firebase, Kotlin, Swift, FinTech, Mobile App*

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### [Supermarket Chain](http://silkdata.tech/case-studies/supermarket-chain.md)

Check out how we helped a German retail chain gain new customers and boost loyalty among existing ones.

*Categories: Figma, Firebase, Kotlin, Swift, Retail, Mobile App*

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### [MMC4](http://silkdata.tech/case-studies/mmc.md)

MMC is Marketing Management Cockpit. A story of how Silk Data helped to develop software to speed up and improve the productivity of marketing employees.

*Categories: Docker, ElasticSearch, Selenium, Vue.js, Marketing, SaaS, Web App, ASP.NET, New Relic, SqlKata*

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### [GRAVITY](http://silkdata.tech/case-studies/employee-training-software.md)

GRAVITY is a digital adoption platform that simplifies employee training with interactive in-app guidance, reducing learning costs and making it easy for employees to navigate applications without prior expertise or complex setups.

*Categories: Angular.js, Docker, Figma, Java, JavaScript, MySQL, PostgreSQL, React.js, Vue.js, EdTech, FinTech, Web App*

---

### [SQ1 FLEX](http://silkdata.tech/case-studies/sq1-flex.md)

How we helped to create a mobile application for a contactless payment system. No matter where you are, managing all of a Flex Band's activities is simple with the SQ1 Flex mobile app.

*Categories: Figma, Firebase, Java, Kotlin, Swift, FinTech, Mobile App*

---

### [Automatic News Analysis](http://silkdata.tech/case-studies/automatic-news-analysis.md)

Silk Data implemented an Analytics Platform for seamless news analysis, offering advanced NLP and machine learning technologies. Our solution empowers users to effortlessly compare news articles, detect media biases, and uncover syndicated news clusters, all in one intuitive web application.

*Categories: Docker, ElasticSearch, FastAPI, JavaScript, NLP, PostgreSQL, Python, React.js, Publishing, SaaS, Machine Learning, Web App*

---

### [AI-Based Procurement Software](http://silkdata.tech/case-studies/procurement-software.md)

Learn how Silk Data AI-based solution helped an international retail company to optimize work with customer claims and improve management efficiency.

*Categories: ElasticSearch, NLP, Python, PyTorch, Retail, SaaS, Machine Learning, LLM*

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### [AI Resume Screening for Recruiters](http://silkdata.tech/case-studies/ai-resume-screening.md)

For our client, a prominent talent acquisition firm, we developed automated resume screening software powered by AI. This solution transformed unstructured resumes into structured data, enabling precise candidate matching,  and generate interview questions based on their skills and experience to hel...

*Categories: NLP, Python, FinTech, Marketing, Machine Learning, Mobile App, Web App, LLM*

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### [Local LLM Deployment for a Marketing Agency](http://silkdata.tech/case-studies/local-llm.md)

Silk Data helped a European marketing agency deploy a local LLM chatbot to enhance team collaboration and data security. Leveraging Python, ASP.NET, and Vue.js, the team developed a cost-effective self hosted LLM using a Hetzner server, ensuring high performance with sensitive data kept within the p...

*Categories: NLP, Python, Vue.js, Marketing, Machine Learning, ASP.NET, LLM*

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### [Digital Publishing Platform for Online Content Distribution](http://silkdata.tech/case-studies/lookup.md)

Great cross platform solution for publishers providing them direct access to their target audience for German client.

*Categories: AWS, Docker, ElasticSearch, Figma, Java, JavaScript, Kotlin, MySQL, NLP, Python, SQL, Swift, EdTech, Publishing, Mobile App, Web App*

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### [WCAG Compliance Guide](http://silkdata.tech/case-studies/wcag-case.md)

Struggling with WCAG compliance? Discover the secrets to WCAG compliance and make your website available to everyone. Uncover essential tips and strategies to ensure your site meets WCAG standards, providing a seamless, inclusive experience for all users and boosting your online presence.

*Categories: EdTech, Publishing, WCAG, IT Consultation*

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### [Quiz Maker: AI Question Generator](http://silkdata.tech/case-studies/ai-question-generator.md)

Streamline quiz creation with our AI-powered tool! In just a few clicks, you can automatically generate questions from any text and build interactive quizzes. Perfect for educators, authors, and content creators seeking to boost engagement and save time.

*Categories: JavaScript, NLP, Python, EdTech, Publishing, SaaS, Machine Learning, Web App, LLM*

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### [Plagiarism Checker with Batch Processing](http://silkdata.tech/case-studies/plagiarism-checker.md)

Silk Data's cross-plagiarism checker transformed APT’s exam process, reducing review time by 90% and flagging suspicious cases.

*Categories: Docker, NLP, Python, Redis, Sklearn, SQL, EdTech, SaaS, Web App*

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### [AI-based Document Analysis](http://silkdata.tech/case-studies/ai-document-analysis-software.md)

Find out how Silk Data successfully implemented an AI-based solution for large financial company, optimizing the decision-making process and sparing specialists from routine document processing

*Categories: Docker, ElasticSearch, NLP, Python, PyTorch, FinTech, SaaS, Machine Learning, LLM*

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### [AI Solution for Animal Farms](http://silkdata.tech/case-studies/ai-in-agriculture.md)

Find out how Silk Data developed a solution that helped cattle farms to predict risks of animal deaths, based on advanced AI-powered data analysis.

*Categories: CatBoost, MongoDB, Pandas, Python, Sklearn, Ecology, Machine Learning, Prototype*

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### [Digital Avatar for Cancer Treatment](http://silkdata.tech/case-studies/digital-avatar.md)

Learn how Silk Data took part in developing digital avatar assistant for those interested in cancer treatment. See the methods and techniques that lie behind such technology and learn more about using avatars in healthcare.

*Categories: FastAPI, NLP, Python, Machine Learning, LongChain, Chroma, HealthTech*

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