FinLegal AI
AI-Powered Precision for Legal and Financial Document Review
Listed in categories:
Data & AnalyticsLegalFintech
Description
Streamlit is an open-source app framework for Machine Learning and Data Science projects. It allows users to create beautiful web applications for their data projects with minimal effort and coding. Streamlit is designed to be simple and intuitive, enabling data scientists and machine learning engineers to turn their scripts into shareable web apps in no time.
How to use FinLegal AI?
To use Streamlit, install it via pip, create a Python script with your data and visualizations, and run the script using the Streamlit command. Your app will be hosted locally, and you can share it with others by deploying it to the cloud.
Core features of FinLegal AI:
1️⃣
Easy to use interface for building web apps
2️⃣
Real-time interactivity with widgets
3️⃣
Supports various data visualization libraries
4️⃣
Seamless integration with Python scripts
5️⃣
Automatic updates with code changes
Why could be used FinLegal AI?
| # | Use case | Status | |
|---|---|---|---|
| # 1 | Creating interactive dashboards for data analysis | ✅ | |
| # 2 | Building machine learning model demos | ✅ | |
| # 3 | Sharing data insights with stakeholders | ✅ | |
Who developed FinLegal AI?
Streamlit was created by a team of engineers and data scientists who wanted to simplify the process of building web applications for data projects. The company is dedicated to empowering data professionals by providing tools that enhance productivity and collaboration.