Aluminum Dataset has designed and developed various projects. Here, some of these projects are introduced while respecting privacy considerations.

Real-State Analysis:

In this process, more than 18 million housing data points were collected, stored, and analyzed, and we used Kibana and Elasticsearch for visualization and analysis. Additionally, multiple meetings were held with real estate consultants in Tehran, where their concerns and insights were heard.

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Social Listening:

With respect for privacy, tweets on various sports topics were analyzed on the former Twitter platform, now X, using Natural Language Processing (NLP) to process text, evaluate public sentiment, and assess people’s emotions.

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Recommender Systems:

Building a recommender system focused on Natural Language Processing (NLP) that is sensitive to external events and social media opinions, with the capability of semi-real-time integration with real-world data.

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Brand Sense Analytics:

Developing a brand positioning and competitor analysis service with a focus on footprint collection, statistical analysis, and machine learning, enabling fast reading and sentiment analysis of 100,000 comments in under 48 hours while also identifying the number of shared followers between two Instagram accounts.

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Automation and Process Optimization with Robots:

Another expertise of Aluminum Dataset is process automation and scheduled content management through the implementation of alert systems. We successfully developed a website managed entirely by robots, which is now fully operational without any human intervention or support.