search

microsoft / Hack-Together-Fabric-AI

Hack Together: The Microsoft Fabric Global AI Hack
MIT License
94 stars 27 forks source link

Legal Document Summarization , Stock Exchange BI Report, Image Detection and Classification for Automobile #24

Open Kapamania opened 8 months ago

Kapamania commented 8 months ago

Project name

Team Kapamania Submission - 3 cases submission

Description

Fabric_Hacktogether_2024

we have submitted 3 use cases

  1. RAG application: Legal document Reader and summarization https://www.youtube.com/watch?v=tLVQtkZTRRE

2.Real-time analytics: Stocks Analyzer and BI reporting https://www.youtube.com/watch?v=bL7T0Wga_8I

3. Automation Driving using Image classification **** https://www.youtube.com/watch?v=WIo5ueqjwfM

Project Repository URL

https://github.com/Kapamania/Fabric_Hack_Together_2024

Project video

https://www.youtube.com/watch?v=D0XcW1Cu1AU

Team members

Manashi Sarkar,Satyaki Majumdar, Debajyoti Roy

Kapamania commented 8 months ago

  1. RAG Application: Our solution combines Microsoft Fabric Notebook, Copilot, and OpenAI to revolutionize document analysis. Fabric Notebook provides a versatile coding environment, Copilot ensures scalability, and OpenAI's LLM models interpret documents, extract insights, generate summaries, and enable Q&A interactions. This integration automates time-consuming tasks, streamlines decision-making, and offers innovative applications in knowledge management, delivering efficient and accurate document interpretation for enterprises grappling with vast textual data.

  2. Real-time analytics: Employing Microsoft Fabric and Synapse Data Engineering Notebook, we execute real-time analytics by fetching and scraping streaming API stocks data through a meticulously scheduled data pipeline. Subsequently, we load this data into delta tables, establishing semantic links via lakehouse architecture for real-time stock data reporting. Leveraging Power BI, our reports, directly linked to the data lake, auto-refresh, furnishing custom stock analyses seamlessly, ensuring timely and informed decision-making.

  3. Image Detection: Utilizing Microsoft Fabric, a sophisticated image detection model is crafted using PySpark Python. This model harnesses the Azure AI service "Cognitive Services Image Detection" to identify objects and categorize them based on predefined parameters. Furthermore, seamless integration with Onelake Fabric lakehouse enables efficient storage of processed images. Such a model holds immense potential for implementation in Automation Driving, enhancing safety and efficiency through advanced image recognition capabilities.

Kapamania commented 5 months ago

Hello admin,

As per hack-together event guidelines, we submitted the project before its deadline. However, we have not yet received any badge for the above-mentioned project submission in the hack-together event. Please look into the matter and kindly provide the badge for the hackathon.

Thanks