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.

MEDVAULT

MedVault AI is a secure, AI-powered health record system designed to improve healthcare access in rural and low-connectivity areas. It offers offline-first AI models, SMS-based access, and blockchain security, ensuring uninterrupted medical data availability. MedVault enables faster diagnoses, AI-driven insights for disease prediction, and cost-effective treatment recommendations. Community health workers can retrieve and update records without smartphones, reducing manual paperwork delays. With predictive analytics, secure data storage, and affordable healthcare solutions, MedVault bridges critical healthcare gaps, ensuring better medical access for all. 🚀🏥

AI-Driven Network Management System

Introducing our AI-Driven Network Management System, a robust, intelligent platform designed for real-time monitoring, predictive maintenance, cost optimization, and energy efficiency. Leveraging advanced AI models such as PyOD and DeepAnT for anomaly detection, LSTM and XGBoost for predictive maintenance, Stable-Baselines3 reinforcement learning for dynamic resource allocation, and Bayesian optimization for reducing energy consumption, our solution transforms network operations. Automated AI agents continuously analyze sensor logs and metrics, resolving issues promptly and escalating complex cases when needed. This comprehensive system ensures scalable, resilient, and efficient network performance while minimizing operational costs and environmental impact through intelligent, automated decision-making processes for excellence.

AfriLearn AI Tutoring Platform

Schools in Africa have several needs. We want to focus on the lack of adequate infrastructure and the limited access to modern technologies, which restricts students' ability to participate in online learning programs or access digital educational resources. AI-powered platform. Initially developed on Streamlit for rapid prototyping, this platform integrates multiple technologies to deliver an educational experience rooted in African culture. It leverages OpenAI’s GPT-3.5 for a multilingual chatbot that answers questions using culturally relevant African examples. Stability AI generates localized visual lessons, such as science diagrams featuring native plants, while ElevenLabs provides text-to-speech functionality for audio responses. Additionally, the mentorship system organizes requests in a CSV database and includes an admin dashboard for managing student needs.

AI Powered Mesh Network

AIM Network is an AI-powered application designed for network engineers, integrating seamlessly with existing monitoring tools and network logs. It automates troubleshooting, provides real-time solutions, and enhances operational efficiency while reducing downtime. By leveraging advanced AI technologies like machine learning and predictive analytics, AIM Network optimizes network performance and empowers engineers with actionable insights for proactive management. Core Components Zabbix Dashboard AIM Network integrates with Zabbix, an enterprise-class open-source monitoring solution, offering: Advanced distributed monitoring for servers, networks, and applications. Real-time notifications and alerting. Extensive data collection options (e.g., SNMP, IPMI, JMX). Customizable dashboards and visualization tools. Auto-discovery of network devices and configurations. AI Assistant The AI-powered assistant enhances troubleshooting efficiency with: Intelligent Log Analysis: Automatically identifies patterns and anomalies in network logs. Root Cause Analysis: Pinpoints underlying causes of issues, not just symptoms. Step-by-Step Resolution: Provides actionable guidance to resolve problems. Network Best Practices: Recommends solutions based on industry standards. Knowledge Base: Continuously learns from new issues to improve recommendations. Reduced Downtime: Speeds up issue resolution to minimize disruptions. Key Features Seamless integration with monitoring tools and logs. Real-time troubleshooting and resolution of network issues. AI-powered insights for proactive network management. Optimization of network performance, including speed, bandwidth, and reliability. Ability to answer general network questions using network documentation. Whether addressing latency, connection problems, or bandwidth constraints, AIM Network empowers engineers with expert-level recommendations, ensuring efficient and reliable network operations.

Sustainable Funding for Global Connectivity

In many parts of the world, internet access remains limited due to poor infrastructure and lack of funding, while affluent regions enjoy high-speed internet at high costs without further infrastructure needs. Our project proposes a sustainable, scalable funding model to bridge this digital divide. By adding optional premium fees to internet bills in affluent regions, funds are allocated to cryptocurrency mining operations. The mined cryptocurrency is then directed to internet development projects in underdeveloped regions. To ensure maximum impact, machine learning algorithms optimize resource allocation, prioritizing areas with the highest connectivity needs. This innovative approach creates a self-sustaining system that empowers communities and promotes global digital inclusion.

WiFi Guardian AI-Powered Network Anomaly Detection

In today’s interconnected world, maintaining secure WiFi networks is critical to prevent cyberattacks and data breaches. WiFi Guardian addresses this challenge by leveraging advanced machine learning, specifically using IsolationForest for anomaly detection. The platform enables users to upload network logs in various formats (CSV, TXT, PDF), automatically processes the data, and extracts key metrics such as traffic, latency, and packet loss. Interactive visualizations powered by Plotly, along with a user-friendly interface built on Streamlit, allow network administrators, IT security professionals, and small business owners to monitor network health in real-time. Unique features include dynamic 2D/3D data charts, comprehensive statistical analysis, motivational UI elements, and automated PDF report generation via ReportLab. This comprehensive approach provides actionable insights for proactive cybersecurity management.