We have crafted a cutting-edge anomaly detection solution tailored for email datasets, exclusively leveraging MS Fabric. Emails, being vast and unstructured data, pose a formidable challenge for processing and comprehension. Harnessing the power of Azure OpenAI, we have ingeniously devised a solution that transforms this unstructured data into a structured format, ideal for generating insightful reports and visually engaging representations such as PowerBI reports. Additionally, through adept utilization of MS Fabric, our solution seamlessly triggers pipeline processes at regular intervals to efficiently handle new subsets of emails.
Project name
Anomaly Detection in Email Datasets
Description
We have crafted a cutting-edge anomaly detection solution tailored for email datasets, exclusively leveraging MS Fabric. Emails, being vast and unstructured data, pose a formidable challenge for processing and comprehension. Harnessing the power of Azure OpenAI, we have ingeniously devised a solution that transforms this unstructured data into a structured format, ideal for generating insightful reports and visually engaging representations such as PowerBI reports. Additionally, through adept utilization of MS Fabric, our solution seamlessly triggers pipeline processes at regular intervals to efficiently handle new subsets of emails.
Project Repository URL
https://github.com/aokic1/ms_fabric_hackathon_2024
Project video
https://www.youtube.com/watch?v=iZlGVj2EP9w
Team members
sivanola, amiodragovic