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.

MarketiQ - Amplify Marketing Brainpower

MarketiQ is an innovative application designed to transform the way businesses approach marketing by harnessing the power of advanced technologies. Tailored for efficiency and precision, MarketiQ empowers organizations to make data-driven decisions, optimize strategies, and achieve superior results in a competitive landscape. MarketiQ stands out as a game-changer for businesses looking to innovate and thrive in the modern marketing ecosystem. By combining the latest advancements in AI, automation, and analytics, it provides an intelligent, faster, and more effective approach to marketing. Whether you're a small business or a global enterprise, MarketiQ equips you with the tools to stay ahead of the curve. Transform your marketing strategies with MarketiQ – your gateway to intelligent growth and success.

SchizoConnect - Safety System for Schizophrenia

SchizoConnect addresses the critical gap in personalized care for schizophrenia patients with neurodivergent comorbidities (ASD, ADHD, bipolar). Our system integrates three core components: Retrieval-Augmented Generation (RAG) Engine: Indexes 29,040 schizophrenia papers from PubMed, using FAISS vector search and DeepSeek-R1 embeddings to provide PANSS-aligned clinical insights. Crisis Prediction Module: Combines wearable biosensor data (heart rate variability, actigraphy) with language disorganization analysis via TensorFlow Lite models. Dynamic Environment Control: Adjusts ambient lighting (LuxIQ protocol) and soundscapes in real-time using WHO mhGAP crisis thresholds. Validated against the SchizConnect framework, the system reduces stress-induced episodes by 42% in simulated trials. Features FHIR API integration for EHR interoperability and LEAP communication templates for family caregivers. Built with Camel Agents for offline functionality in low-resource settings.

AI Powered Relationship Counselor

AI Powered Relationship Counselor is an innovative AI-driven tool that analyzes WhatsApp conversations to assess relationship dynamics. It utilizes Deep Seek's advanced reasoning model to detect red flags, identify toxicity, and provide actionable insights for improving communication. Users can upload chat logs, and the AI will analyze conversations based on context, sentiment, and behavioral patterns. The model provides a helpful response backed with data in an empathetic tone, helping users recognize unhealthy trends and areas needing improvement. The system leverages FAISS for efficient similarity search, embedding models for contextual understanding, and Deepseek connecting through AI/ML API API to generate personalized feedback. This tool is ideal for individuals seeking objective relationship guidance, therapists, and researchers analyzing social interactions. By offering real-time analysis chat, AI Powered Relationship Counselor promotes self-awareness, emotional intelligence, and healthier relationships. The platform ensures user privacy by processing chats securely without storing personal data.

Time Capsule

The Time Capsule Generator is an innovative application designed to help users capture, preserve, and revisit their life’s most meaningful moments using cutting-edge AI technology. By blending emotional storytelling with advanced natural language processing, this app allows users to create personalized digital time capsules that evolve with them over time. Whether documenting personal milestones, aspirations, or everyday thoughts, the app transforms ordinary memories into timeless keepsakes, delivering a unique blend of nostalgia and forward-looking inspiration. Key Features AI-Powered Time Capsule Creation: Users input details about their current life, goals, and emotions. The app leverages OpenAI’s GPT-3.5/4 model to generate three core elements: Reflective Summary: A snapshot of the user’s current state, capturing their mindset and experiences. Future Predictions: Fun, speculative insights about where life might take them. Letter from the Past: A heartfelt message from the user’s "past self" to their future self, adding a deeply personal touch. Scheduled Delivery: Users set a future date (e.g., 5 years later) to receive their time capsule. The app automatically sends the capsule via email on the specified date using a secure Gmail integration, ensuring privacy and reliability. Interactive Unboxing Experience: When a capsule is opened, the AI generates a new reflection comparing the user’s past and present. This feature analyzes the original content alongside any new input from the user, offering insights into personal growth, achievements, and changes over time. Social Sharing: Users can share their capsules on platforms like Facebook, WhatsApp, Instagram, and LinkedIn. Ideal for milestone celebrations, personal journaling, or legacy-building, the Time Capsule Generator redefines how we preserve memories in the digital age. By merging technology with humanity, it offers a timeless way to reflect on the past, navigate the present, and envision the future.

IRIS AI-Caregivers

Core Idea IRIS AI Caregiver AIs are designed to provide empathetic support and guidance to caregivers, patients, and families navigating palliative end of life care. By using cutting-edge AI, computer vision, and natural language processing, IRIS AI creates a personalized, compassionate, and intuitive support system. *Key Objectives* 1. *Emotional Support*: Offer emotional comfort and reassurance to caregivers, patients, and families. 2. Personalized Guidance Provide tailored guidance and recommendations for caregiving, symptom management, and end-of-life care. 3. *Care Coordination*: Facilitate seamless communication and coordination among caregivers, healthcare professionals, and family members. 4. Respite and Relief: Offer respite and relief to caregivers, reducing burnout and improving overall well-being. Innovative Approach IRIS AI Caregiver AIs combine: 1. *Edge AI*: Enables real-time processing and analysis of sensitive data. 2. Computer Vision: Analyzes human movements, facial expressions for better help and illness progression tracking using CXR & CT image analysis 3. Natural Language Processing: Understands and responds to emotional cues, concerns, and questions. 4. Bidirectional Intelligence Hierarchy: Facilitates continuous learning, adaptation, and improvement. By integrating these technologies, IRIS AI Caregiver AIs can simulate a Hospice support ecosystem, empowering caregivers, patients, and families to navigate the complexities of palliative care with compassion, dignity, and hope.

Revolutionizing Interactive Learning for Students

The AI-powered quiz generator is designed to create interactive quizzes for young students. The application uses advanced AI models to generate ques- tions dynamically, ensuring a variety of question types and difficulty levels. The project aims to provide an engaging and educational tool for students while showcasing the capabilities of AI in educational technology. This project is intended to be deployed in the market as a fully functional website, allowing students to benefit from its interactive and adaptive learning features. By collaborating with established learning platforms, the application will integrate seamlessly into existing educational ecosystems, providing a scal- able and accessible solution for students worldwide. The goal is to enhance learning experiences through AI-driven personalization and real-time feedback, fostering collaboration and engagement in educational environments.