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.

AI Requirements Engineer Assistant

The AI Requirements Engineer Assistant addresses a critical pain point in software development: poorly defined and analyzed requirements that lead to project delays, cost overruns, and failed implementations. Requirements engineering is often manual, error-prone, and lacks standardization across teams and organizations. Our solution leverages Large Language Models through the Groq API to automatically analyze requirements documents, identify ambiguities and inconsistencies, prioritize features based on business value and dependencies, and generate visual representations like use case diagrams. The tool helps product managers, business analysts, and developers collaborate more effectively by providing a shared understanding of requirements quality and completeness. Key differentiators include multi-format document support (PDF, DOCX, TXT), interactive natural language Q&A about requirements, and a clean, intuitive interface that requires no AI expertise to use. Unlike generic AI assistants, our tool is specifically designed for requirements engineering with specialized prompts and output formatting tailored to software development needs. Target users include software development teams, business analysts, product managers, and quality assurance professionals who want to improve requirements quality early in the development lifecycle, reducing costly changes and misunderstandings later.

ReplyMate AI

ReplyMate AI leverages advanced Natural Language Processing (NLP) and machine learning to offer users secure and intelligent conversations. It helps identify potential fraud attempts, ensuring a safer messaging experience on WhatsApp. Built for businesses and individuals, ReplyMate is the go-to tool for fraud prevention and efficient chat automation." Fraud Detection: Identifies suspicious activity and alerts users to potential phishing or scam messages. Smart Replies: Provides contextually relevant and accurate responses to improve user engagement. Real-Time Alerts: Instantly notifies users of fraudulent activities or scams. Security Focused: Ensures that sensitive user data is never compromised during interactions. WhatsApp Integration: Seamlessly integrates with WhatsApp for easy communication and use. Error Handling: Identifies and manages errors gracefully, ensuring the chatbot remains effective even in complex conversations.

SupplyShield - Smart Risk Detection

SupplyShield 2.0 is an AI-powered logistics intelligence system designed to monitor global shipments in real time, detect risks proactively, and automate decision-making and communication to reduce costly disruptions. Supply chains today face unpredictable events — weather delays, port strikes, roadblocks, and geopolitical risks — yet most systems rely on manual reporting, slow updates, and siloed communication. These gaps lead to delayed actions, misinformed stakeholders, and massive financial losses. SupplyShield 2.0 solves this with a full-stack AI-driven dashboard that uses real-time inputs (shipment logs, weather, news) to identify potential disruptions. It uses Claude LLM via Anthropic to summarize risks, suggest optimal decisions (like rerouting or expediting), explain severity levels, and even draft professional messages or Slack updates for stakeholders — automatically. The system is built using Streamlit for interactive visualization, LangChain + LangGraph for smart logic flows, and ChromaDB to store historical decisions and learn from them. It integrates OpenWeatherMap, GNews, and Slack Webhooks, providing a 360° view of each shipment — including weather at its current location, breaking news alerts, AI-generated risk summaries, and cost comparisons between action choices (e.g., penalty vs air freight vs rerouting). Users can upload new shipment entries or choose from samples. The app allows for one-click PDF and CSV report exports and features an internal chatbot interface that remembers the current session. It is built with modular architecture, real-time visuals (Plotly maps and charts), memory-driven chat, and customizable alerts. By automating insight, communication, and contingency logic, SupplyShield 2.0 helps companies reduce operational losses, speed up decision-making, and improve reliability in their global supply operations. It combines the power of LLMs with logistics domain intelligence to build the next-generation smart supply chain layer.

Financing AI Agent

The Financing AI Agent addresses the widespread challenge of managing daily finances, where individuals often struggle to balance spending, prioritize expenses, and save effectively for future goals. This innovative tool, built in Python, analyzes transaction data from CSV files, categorizing expenses and allocating funds into savings buckets—Emergency, Travel, Fun, and Health—based on user-defined priorities like healthcare or leisure. Its vibrant CLI, powered by the rich library, delivers colorful daily and weekly summaries, with pie charts via matplotlib for clear insights. Future phases include a Streamlit web app with interactive dashboards, a Tkinter desktop GUI for offline use, and AI/NLP integrations using nltk or spacy for natural language inputs and smart suggestions. Targeting young professionals, students, and budget-conscious individuals, it simplifies financial planning. Its unique benefit lies in AI-driven priority suggestions, offering personalized, scalable, and intuitive finance management, transforming how users achieve financial wellness in a complex world.

ReviewAI - An AI based E-Commerce Tool

ReviewAI streamlines the process of making informed purchasing decisions by monitoring and checking product reputation. Users simply input a product link, after which the application automatically scrapes reviews, analyzes sentiments using advanced AI models, and delivers clear recommendation either to buy the product or not. This application not only helps consumers decide whether to purchase a product, but also empowers businesses—big or small—to monitor product perception, identify trends, and improve offerings based on the comments of the real customers. Functional Breakdown: Review Scraping: Utilizes Selenium to extract comprehensive review data—including ratings, reviewer details, and review content—from e-commerce product pages. Data Processing: Cleans and structures the extracted data using Pandas and Python utilities, ensuring high-quality input for analysis. Sentiment Analysis: Employs Mistral AI and it’s cutting-edge NLP techniques to perform nuanced sentiment analysis, to categorize positive, negative, and neutral opinions. Recommendation Engine: Aggregates sentiment scores and review credibility to generate clear recommendations. User Interface: Built with Streamlit, the intuitive web interface allows users to input product links and view detailed analysis and recommendations in real time. Applications: Smart Shopping Companion: ReviewAI acts as a smart shopping companion. by just pasting the link, the user can receive a trustworthy recommendation—saving time and enhancing the overall shopping experience. By leveraging real buyer reviews and advanced AI analysis, the application helps users make confident decisions and avoid disappointing purchases. Business Intelligence: Enables businesses to monitor product perception, discover what customers like or dislike, identify recurring defects or praised features, and track long-term trends (such as shifts in positive or negative reviews over time).

RiskRadar-Business Risk and Opportunity Analyzer

RiskRadar is a cutting-edge application designed for business professionals, startups, and investors. It leverages real-time news sources to identify potential business risks and opportunities, with a focus on topics such as natural disasters, market trends, and economic shifts. Powered by Groq LLaMA3-70B, SerpAPI, and Plotly, this tool provides accurate risk analysis and strategic insights through advanced natural language processing (NLP) models. It also offers location-based risk mapping and visualizations for easy decision-making. The app provides actionable insights by analyzing news headlines and offering strategies for capitalizing on market shifts. With the integration of SerpAPI, it fetches the latest real-time news, and with Groq's AI capabilities, it generates analysis and predictions on potential risks and opportunities for businesses in real time.