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.

CrisisGPT-Conduct or RAISE Track

CrisisGPT is an AI-powered emergency response assistant designed to improve how individuals and communities report, process, and respond to disaster situations in real time. Whether it’s a natural disaster, medical emergency, or civil crisis, timely and accurate communication is critical — but often missing, especially in remote or under-resourced areas. Our solution addresses this challenge by leveraging Groq’s ultra-fast inference with LLaMA 3.1 to power intelligent emergency triage. Users can describe their situation in any language, and CrisisGPT instantly classifies the emergency, provides an AI-generated summary, and recommends immediate action steps. It bridges the gap between panic and clarity using language that’s accessible and actionable. The app is built with Streamlit, ensuring a responsive and lightweight user experience. Core features include: 🔍 AI-assisted emergency classification 📝 Multilingual incident reporting ⚠️ Actionable AI-generated safety tips 🗺️ Real-time map visualization of reported incidents 📊 Interactive incident dashboard for responders 🌦️ Weather-based risk tips (coming soon) 🔒 Secure Groq API key management using secrets This solution is scalable and designed for communities, NGOs, responders, and government agencies. It not only makes emergency response smarter and faster but also more inclusive. Future enhancements include Coral Protocol for incident validation, live alert sharing, and integration with communication platforms and SMS APIs for low-connectivity areas. By combining powerful AI with practical design, CrisisGPT empowers faster decisions, saves lives, and supports equitable disaster response — globally. Built with ❤️ by Team KalamTech for the Raise Your Hack Hackathon.

Zero-Click AI Chatbot Deployment

Modern enterprises need custom AI assistants but lack the time, resources, or infrastructure to build and deploy them. Zero-Click AI Chatbot Deployment solves this problem by allowing users to deploy tailored AI bots with just a bot name — no manual coding, container setup, or cloud provisioning required. Powered by FastAPI, Groq’s ultra-fast LLM API, and Vultr’s on-demand cloud infrastructure, our platform builds and hosts the chatbot on a newly provisioned VM, runs the backend in a container, and serves it through a live URL — all triggered by a single user action. Our solution targets enterprises, SaaS providers, and managed service platforms looking to rapidly spin up branded AI assistants (e.g., "Python Tutor", "HR Helper", "Sales Agent") for internal or external use without infrastructure headaches.

FintraSync-Conductor and RAISE track

PROBLEM: There is a lack of personalized investment advice application that tracks Stock performance and relevant news, takes into hidden risks (fraudulent transactions/insider trading) for advice and provides complete Portfolio and Scenario Analysis. SOLUTION: We are building a personalized, Agentic AI Finance companion with a mobile interface for easy access to provide portfolio forcecast analysis, investment advice based on risk profile and Complete Portfolio and Scenario Analysis. IMPLEMENTATION We built - Fintra Mobile App: React Native developed using Natively AI co-pilot - deployed to expo.app, expo GO - FintraSync Analysis Engine: Grok, Llama powered multi-agent, MCP, python based analysis engine - deployed to Render - Used Live financial information from finnhub.io - Fraud Detection, Insider Trading: Attempted Agents using Coral Framework. - Voice integration: Attempted on the mobile app using Grok, Llama FUTURE A ROBUST Investment Advisor with - Dynamic Agentic Framework and Platform - Validation framework for analysis results - Include fraud detection, insider trading, human emotion, sentiment analysis and additional economic indicators for better accuracy

VHeal AI

VHeal AI is an Agentic AI-powered hospital discharge copilot designed to streamline patient discharges by autonomously coordinating between hospital staff, systems, and workflows. In modern hospitals, discharging a patient is a multi-step, often delayed process involving doctors, nurses, transport, billing, and pharmacy. VHeal AI detects discharge triggers, reasons through medical workflows, completes checklists, and notifies stakeholders through messaging APIs like WhatsApp and SMS. It also generates discharge summaries using LLMs such as GPT-4o and Claude 3. The project uses a LangChain-based agentic framework, integrated with FastAPI, Streamlit/React, and real-time dashboards for staff. VHeal AI mimics a real hospital staff member, offering timely, autonomous, and safe discharge experiences—helping hospitals save beds, time, and lives.

LeCommis

1. The Problem. In today's fast-paced world, maintaining a healthy diet can be a daunting task. Many people struggle with finding the time to plan nutritious meals, shop for the right ingredients, and cook. This often leads to poor eating habits, reliance on fast food, and ultimately, health issues. The process of meal planning and grocery shopping can be overwhelming, leaving little time and energy for the actual enjoyment of cooking. 2. Our Solution. LeCommis is designed to simplify your meal planning and grocery shopping, making it easier than ever to maintain a healthy lifestyle. Our innovative app leverages the power of AI to create personalized meal plans tailored to your unique nutritional needs. Here's how it works: - Sign-Up: When you first sign up, LeCommis asks for some basic information to build your nutrition profile. This profile is used to understand your dietary preferences, allergies, and health goals. - Meal Planner: Every meal, LeCommis proposes three AI-generated recipes that are specifically designed to meet your nutritional needs. - Recipe Selection: Each recipe comes with a list of ingredients, preparation time, and nutritional content. You can easily compare the options and choose the one that best fits your taste and schedule. - Ordering: Once you select a recipe, LeCommis takes care of the rest. The AI searches for the nearest store, orders all the necessary ingredients, and arranges for pickup or delivery. LeCommis is perfect for anyone looking to improve their eating habits without the hassle of meal planning and grocery shopping: Busy Professionals, Health Enthusiasts, Families or Fitness Enthusiasts, LeCommis is for everyone. LeCommis is more than just a meal planning app; it's your personal cooking assistant dedicated to helping you live a healthier life. We take the hassle out of cooking to let you enjoy healthy meals. Important ! Snowflake requires login to see our demo, credentials are in Additional information for evaluators.

Suvidha Revolutionizing Online Shopping with AI

Suvidha is a conversational AI-powered shopping assistant designed to bring true convenience to online shopping and to empower users to make smarter shopping decisions — faster. Instead of relying on sponsored ads or generic reviews, Suvidha taps into authentic Reddit discussions, using a large language model to distill thousands of user experiences into concise, trustworthy insights. As users chat with Suvidha, it dynamically learns their preferences — like budget, brand loyalty, or feature priorities — and adapts its recommendations in real time. It also leverages smart caching to avoid redundant API calls, ensuring a seamless and responsive experience. Once a user has made an informed choice, the app offers a direct path to purchase by listing actionable product links — making the journey from confusion to confident checkout incredibly smooth. With Suvidha, we bring the power of real voices, personalization, and AI-driven speed together to deliver what online shopping should have always been: effortless, intelligent, and truly convenient.