streamlit AI technology page Top Builders

Explore the top contributors showcasing the highest number of streamlit AI technology page app submissions within our community.

Streamlit: Effortless Front-Ends for Your Data Apps

Streamlit is a pioneering technology provider that specializes in turning data scripts into shareable web apps with minimal effort. Launched in 2018, Streamlit has gained popularity for its ease of use and efficiency, empowering data scientists and developers to create and deploy data-driven applications swiftly.

General
Author	Streamlit
Repository	https://github.com/streamlit/streamlit
Type	Framework for ML and data science apps

Key Features

Transforms Python scripts into interactive apps with simple annotations, dramatically reducing development time.
Facilitates real-time interactivity directly from Python code without requiring front-end expertise.
Supports hot-reloading, allowing instant app updates as the underlying code changes.
Provides built-in support for a wide array of widgets, enabling the addition of interactive features without additional coding.

Start building with Streamlit's products

Streamlit offers a range of features designed to simplify the process of app creation and deployment, enhancing productivity in data science and machine learning fields. Explore how you can leverage Streamlit to turn your data projects into interactive applications. Don’t forget to check out the innovative projects built with Streamlit at various tech meetups!

List of Streamlit's products

Streamlit Library

The Streamlit Library allows developers to quickly convert Python scripts into interactive web apps. This library is packed with easy-to-use functionalities that make it straightforward to add widgets, charts, maps, and media files, transforming complex data science projects into user-friendly applications.

Streamlit Sharing provides the hosting infrastructure to share Streamlit apps with the world. It simplifies deployment, enabling users to go from script to app in minutes on a secure and scalable platform.

Streamlit for Teams

Streamlit for Teams is designed for collaboration and enterprise usage, offering additional features like integration with existing databases, advanced security protocols, and customized control for managing user access and data privacy.

System Requirements

Streamlit is compatible with Linux, macOS, and Windows systems, requiring Python 3.6 or later. It typically runs with minimal hardware requirements, though performance scales with available resources. For optimal performance, a modern processor and sufficient RAM are recommended, with a stable internet connection for deploying apps using Streamlit Sharing. Modern browsers with JavaScript support are required to view and interact with the apps.

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streamlit AI technology page Hackathon projects

Discover innovative solutions crafted with streamlit AI technology page, developed by our community members during our engaging hackathons.

Healytastic One Nation One Data Platform

Healytastic is a scalable AI-driven platform designed to validate, clean, and manage critical government datasets efficiently. Built on a demo tech stack of Grok, Python, Streamlit, and Firebase, it automates anomaly detection, deduplication, and intelligent validation to identify issues like duplicate entries, invalid IDs, fraudulent patterns, and compliance violations. The tool allows users to upload, edit, merge, and analyze datasets while providing comprehensive reports with actionable insights and suggested resolutions. Demonstrating versatility, Healytastic supports workflows like voter roll management, healthcare record consolidation, immigration data validation, etc., enabling personalized steps, reducing manual effort, and ensuring transparency. With its ability to scale across departments and roles, Healytastic showcases AI-powered automation to modernize government operations, saving time and enhancing data integrity.

US - Real-Time Crime Dashboard

Provide a Decision Support System (DSS) designed to enhance decision-making by providing data-driven insights and predictive analysis for optimizing sector investments. It leverages advanced analytics and AI algorithms to process large volumes of data, offering real-time performance tracking and actionable recommendations for various departments at both state and national levels. The system optimizes state-level investments across departments, such as police, healthcare, and education, by analyzing data and predicting resource needs. It generates projections across states, offering insights into performance and resource allocation at a national scale, enabling more efficient decision-making and better-targeted investments.

Agent Karen Gov

AgentKaren.Gov is an innovative AI-powered platform revolutionizing citizen complaint management in the United States. Based on the humorous idea of “Karen,” who used to complain about everything, this system now allows citizens to voice their problems and receive personalized solutions. Using advanced models like Grok AI, AgentKaren.Gov analyzes the sentiment behind each complaint, identifies key themes, and organizes the data into an interactive US map, where it can be filtered by state, category, and emotional level. Streamlit’s user-friendly interface facilitates the user experience, while SQLite stores the data efficiently. This project not only seeks to solve problems, but also to transform complaints into opportunities for improvement and empathy, promoting constructive interaction between citizens and technological solutions. Karen is now part of the positive change!

AI Tax Assistant Chatbot

Tax departments often face challenges like long waiting times, overwhelmed staff, & inconsistent responses to citizen inquiries. Our solution, "AI Tax Assistant" addresses these issues by leveraging Large Language Model (LLM) technology to automate citizen interactions in tax departments.This AI chatbot is designed to act as a virtual staff member, capable of: Answering a wide range of citizen tax-related questions using a comprehensive knowledge base and also deal inquiries through an intuitive interface. Providing accurate, real-time information on policies, procedures, and deadlines. Targeted at citizens and tax officials, the solution minimizes workload, reduces operational inefficiencies, & enhances citizen satisfaction. Unique features include a constantly updated knowledge base, 24/7 availability, multilingual support, & seamless integration with existing office systems. By embracing this innovation, tax departments can significantly improve service delivery & operational efficiency.

Flying Beyond Limits and Building Beyond Borders

Our team’s vision for this event is driven by a decade of research and over 15 initiatives that highlight a persistent challenge: fragmented and disorganized data and information. Tackling this foundational issue is essential to addressing broader governance challenges, and we’re taking the first step with a transformative prototype: the Knowledge Extraction Model. Whether it’s legal documents, governmental records, or citizen petitions, the inability to structure, interconnect, and analyze information impedes progress across the board. The solution lies in creating a robust, cross-sector platform capable of organizing data and fine-tuning AI models for graph-based knowledge representation. By solving this root issue, we can pave the way for more efficient, transparent, and citizen-focused governance systems. We did a prototype that leverages advanced AI and graph database technology to restructure how data is organized and utilized. Some features: Knowledge Extraction and Graph Databases The model identifies patterns, entities, and relationships within unstructured data to construct a knowledge graph. This structured representation allows for better visualization and analysis of interconnected information, enabling actionable insights. Grok extracts relevant information from diverse data sources. It organizes the extracted data into graph databases, streamlining the process of analysis and relationship mapping. Machine Learning for Legal and Governmental Analysis The model transforms legal and governmental documents into organized, cyclical formats, improving process tracking and management. Knowledge Graph for Recommendations The prototype supports systems that recommend appropriate governmental entities for resolving specific issues. This ensures clearer and more efficient pathways for citizens to interact with government services. More information here: https://docs.google.com/document/d/1yE91oZBmNIqkvarKIu1b6zjswOSHMY_KC9k7GrHl5Vs/edit?usp=sharing

EngageGov- AI app for citizen reports and services

EngageGov is an AI-driven citizen engagement app built using xAI's Grok models (grok-beta, grok-vision-beta), Python, OpenAI, and Streamlit, designed to enhance government efficiency and cut costs. The app allows citizens to report issues such as damaged infrastructure (e.g., bad roads or leaking pipes) and make inquiries about government services (e.g., how to apply for healthcare benefits or access education support) through text or photo submissions. By using sentiment analysis and Grok's AI capabilities, EngageGov analyzes each submission, providing tailored responses and routing issues to the appropriate government agency (e.g., Health, Transport, Infrastructure) via email or SMS for quick action. This reduces unnecessary manual work, making the process more streamlined and reducing administrative costs. For example, a citizen reporting a pothole can easily submit a photo, and the AI will analyze the urgency and forward the report to the Ministry of Transport for immediate attention. Similarly, when someone inquires about available government healthcare programs, Grok's AI will instantly suggest the necessary steps to subscribe, cutting down on the need for in-person inquiries. This app can help governments cut costs by reducing manual handling of complaints, minimizing unnecessary administrative resources, and ensuring efficient service delivery. By automating routine tasks and providing self-service capabilities, EngageGov optimizes government spending, ensuring resources are allocated more effectively while increasing accountability and transparency.