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This application is a Batching Demo designed to showcase the efficiency of message batching in a messaging system. It allows users to configure batch parameters, send messages, and visualize the impact of different batching strategies on message processing and cost savings.

To use the app, users can adjust settings such as the maximum batch size and message price through a settings modal. They can then send individual messages or bulk messages to see how the system handles them under different batching strategies: No Batching, Regular Batching, and Leading Debounce. The app provides real-time feedback on the status of messages, including whether they are sending, waiting, successful, or failed.

The application is built using TypeScript and React, leveraging libraries such as Framer Motion for animations and Lucide React for icons. It features a user-friendly interface with components for displaying message tracks, batch indicators, and savings information. Key features include:

1. **Settings Modal**: Users can configure batch settings, including maximum batch size and message cost.
2. **Message Tracking**: Visual representation of messages in different states, allowing users to see how messages are processed over time.
3. **Batch Savings Information**: Detailed statistics on the effectiveness of different batching strategies, including potential cost savings.
4. **Real-time Feedback**: Users receive immediate visual feedback on the status of messages as they are sent and processed.
5. **Bulk Messaging**: The ability to send multiple messages at once, simulating real-world usage scenarios.

Overall, this app serves as an interactive demonstration of message batching, providing insights into its benefits and operational mechanics.

The Device Mockup Generator is a web application designed to create professional mockups of various devices, including smartphones, tablets, and laptops. Users can upload screenshots, customize device types and styles, and download or share the generated mockups.

To use the app, users start by uploading an image file, which can be in PNG, JPG, or WEBP format. They can then select the type of device they want to use for the mockup, choose a frame color, and adjust the scale and rotation of the mockup. The app also allows users to customize the background with solid colors, gradients, or images, and to add watermarks if desired. Additionally, users can apply animations to the mockup, such as floating or rotating effects.

The application is built using TypeScript and React, leveraging libraries such as html-to-image for image generation and Lucide for icons. It employs a responsive design to ensure usability across different devices, and it includes a theme toggle feature for light and dark modes.

Key features of the Device Mockup Generator include:
- Uploading and previewing screenshots.
- Selection of device types (iPhone, iPad, MacBook) and models.
- Customization options for frame color, scale, rotation, and perspective.
- Background customization with color, gradient, or image options.
- Watermark addition with adjustable opacity and position.
- Animation effects for dynamic mockups.
- Download functionality for generated mockups in various formats (PNG, JPG).
- Social media sharing options for generated mockups.

Overall, the Device Mockup Generator provides a comprehensive tool for designers and developers to create visually appealing device mockups for presentations, portfolios, or marketing materials.

Device mockup generator

This application is a throttle demo tool designed to simulate and visualize message throttling behavior in a messaging system. It allows users to configure throttle parameters, send messages, and observe how messages are processed under different throttling conditions.

To use the app, users can adjust settings such as the throttle window duration, maximum messages allowed, throttle key, and message provider cost through a settings modal. Users can send individual messages or bulk messages to see how the throttling mechanism works in real-time. The application provides visual feedback on the status of messages, including whether they are sending, waiting, successful, or failed.

The app is built using TypeScript and React, leveraging libraries such as Framer Motion for animations and Lucide React for icons. Key features include a horizontal message track that visually represents the status of messages, a throttle indicator that shows the remaining time for the current throttle window, and a simplified savings info component that calculates and displays the cost savings achieved through throttling.

The application maintains a state for each throttle key, tracking the number of successful and failed messages, as well as the processing queue. It also includes a timer that counts down the throttle window and processes messages based on their status. Overall, this app serves as a practical demonstration of message throttling, providing insights into its impact on message delivery and costs.

Easily complete common domains and catch misspellings before submitting them.

Smoooth Email Validation

This app is designed to facilitate attendance tracking for events, specifically focusing on live sessions. It allows users to confirm their presence, submit their contact information, and access exclusive rewards and materials related to the event.

Users can navigate through several screens, starting with the Attendance Screen, where they are prompted to enter their email address to confirm their attendance. Upon submission, the app logs the email and informs users about the rewards they can earn, such as exclusive materials, participation points, and surprise gifts.

The WhatsApp Number Screen allows users to input their phone number, selecting their country code from a dropdown menu. The app ensures that only valid digits are accepted for the phone number. After entering their number, users can confirm it, which is followed by a confirmation screen that displays the entered number and allows users to either confirm or correct it.

The Check-In Screen is where users can check in for the event days. It features cards for each day of the event, indicating whether the user has already checked in. Users can click a button to check in, which prompts them to enter a presence code shown during the live session. The app simulates an API call to validate the code and updates the check-in status accordingly.

Key technologies used in the app include React for building the user interface, TypeScript for type safety, and various UI components for consistent design. The app also utilizes state management to handle user inputs and interactions effectively.

Key features of the app include:
- Email and phone number submission for attendance confirmation.
- Reward system that incentivizes user participation.
- Check-in functionality for multiple event days with code validation.
- User-friendly interface with responsive design elements.
- Feedback mechanisms for confirming or correcting user inputs.

Overall, this app streamlines the process of managing attendance for events while enhancing user engagement through rewards and interactive features.

Modern attendance screen

A sleek interaction where blocks smoothly transition to highlight the hovered item, dynamically adjusting their width to emphasize focus.

1 2 3 4 5

Bento grid

A radar chart with icons.

Card Profile Edition

Minimalist Card by kokonut/ui

Minimalist Card

Coffee Machine Animation

Vercel Coffee Machine

Togglable settings card

Toggle Settings

Timer for early versions of IOS

Ios style timer

Simulate a terminal to showcase your developer CLI

Background Circles

Background Circles

The Email Category Selector app is a user interface component designed to help users categorize their emails into distinct groups. It allows users to easily switch between different email categories, enhancing their email management experience. The app features five categories: Important, All Mail, Personal, Updates, and Promotions, each represented by an icon and a color for easy identification.

To use the app, users simply click on one of the category buttons to select it. The selected category will expand visually, while the others will shrink, providing a clear indication of the active category. The app employs animations to create a smooth and engaging user experience, with transitions that respond to user interactions.

The app is built using React, a popular JavaScript library for building user interfaces, and utilizes TypeScript for type safety. It also incorporates the Framer Motion library for animations, allowing for dynamic visual effects. The icons are sourced from the Lucide React icon library, providing a modern and clean aesthetic.

Key features of the Email Category Selector app include:
- A responsive design that adapts to different screen sizes.
- Smooth animations for category selection, enhancing user engagement.
- Clear visual differentiation between categories through color coding and icons.
- A straightforward user interface that simplifies email categorization.

Overall, the Email Category Selector app is a practical tool for users looking to organize their email efficiently while enjoying a visually appealing interface.

Email Filter Buttons

Simple Star Rating Widget

Og Card

Product Variation Selector

Product Variation Selector

The Oceania Bank app is a modern banking solution designed to provide users with a comprehensive suite of financial services. It allows users to manage their accounts, perform transactions, and access various banking features through a user-friendly interface.

To use the app, users can register for an account by providing their personal information, including name, email, and password. Once registered, users can log in to access their dashboard, where they can view account balances, transaction history, and manage their finances. The app supports both personal and business banking, offering features such as savings accounts, credit cards, personal loans, and mortgages.

The app is built using Next.js, a React framework, and utilizes TypeScript for type safety. It employs Prisma as an ORM for database interactions with a PostgreSQL database, ensuring efficient data management. The user interface is styled using Tailwind CSS, providing a responsive and visually appealing design. The app also integrates NextAuth for authentication, allowing users to log in using credentials or third-party providers like Google.

Key features of the Oceania Bank app include:

1. **Account Management**: Users can create and manage multiple accounts, including checking and savings accounts.
2. **Transaction Processing**: Users can perform deposits, withdrawals, and transfers between accounts, with real-time updates on their transaction history.
3. **KYC Verification**: Users can upload necessary documents for identity verification, which are reviewed by the bank's compliance team.
4. **Admin Dashboard**: Admin users have access to a dedicated dashboard for managing users, accounts, and transactions, including the ability to approve or reject KYC verifications.
5. **Responsive Design**: The app is designed to work seamlessly on various devices, ensuring a consistent user experience.
6. **Theme Toggle**: Users can switch between light and dark themes for a personalized interface.
7. **Security Features**: The app implements advanced security measures, including encryption and multi-factor authentication, to protect user data.

Overall, the Oceania Bank app aims to simplify banking for its users while providing robust features and a secure environment for managing finances.

This application is designed to enhance accessibility features for users, providing a customizable experience that caters to various needs. It allows users to adjust text size, toggle high contrast mode, reduce motion effects, and switch to a dyslexia-friendly font. The app also includes enhanced focus indicators for better keyboard navigation.

To use the app, users can interact with an accessibility panel that can be opened by clicking an accessibility button located in the bottom right corner of the screen or by using keyboard shortcuts. The panel provides options to adjust settings such as font size through a slider, toggle high contrast and reduced motion modes, and enable or disable a dyslexia-friendly font. Users can also reset all settings to their default values.

The application is built using TypeScript and React, leveraging various components for user interface elements, including buttons, cards, tabs, and dialogs. It utilizes a context provider to manage accessibility preferences, ensuring that user settings are saved and applied consistently across sessions. The app also employs CSS for styling, including responsive design principles and accessibility-focused styles.

Key features of the app include:
- A dedicated accessibility panel for easy customization of viewing preferences.
- Options to adjust text size, toggle high contrast mode, and enable reduced motion effects.
- A dyslexia-friendly font option to improve readability for users with dyslexia.
- Enhanced focus indicators to assist keyboard navigation.
- Keyboard shortcuts for quick access to accessibility features.
- The ability to save user preferences in local storage for a persistent experience.

Overall, this application aims to create a more inclusive digital environment by providing essential accessibility tools and features.

Custom Accessibility Component

Design system inspired by Bauhaus and Brutalism

Bauhaus Brutalism Design System

The eCFR Browser is a web application designed to facilitate the browsing, searching, and bookmarking of sections from the Electronic Code of Federal Regulations (eCFR). It provides users with a structured and intuitive interface to navigate through the hierarchical organization of titles, parts, and sections of federal regulations.

To use the app, users can navigate through the eCFR tree structure, search for specific regulations using keywords or CFR references, and bookmark sections for quick access later. The application also tracks recently viewed sections and allows users to manage their bookmarks effectively.

The app is built using modern web technologies, including Next.js for server-side rendering and routing, React for building user interfaces, TypeScript for type safety, and Tailwind CSS for styling. The backend is powered by Supabase, which provides a PostgreSQL database for storing eCFR data and user bookmarks.

Key features of the eCFR Browser include:
- Hierarchical navigation of eCFR titles, parts, and sections.
- A powerful search functionality that allows users to find regulations by keywords or CFR references.
- Bookmarking capabilities to save and organize frequently accessed regulations.
- A recently viewed section to track the user's navigation history.
- Integration with Velt for comments and annotations on sections.
- Responsive design for optimal viewing on various devices.

The application also includes a caching mechanism using Redis to enhance performance and reduce load times when accessing frequently requested data. Users can manage their bookmarks and cache settings through an administrative interface, ensuring a smooth and efficient experience while interacting with the eCFR data.

Photography Quote Calculator

Photography Quote Calculator

This application is a simple chatbot built using Next.js, the Vercel AI SDK, and DeepInfra. It provides users with an interactive interface to communicate with an AI assistant, allowing for real-time messaging and responses.

To use the app, users can enter their messages in a text area at the bottom of the screen. The text area automatically resizes based on the content entered. Upon pressing the "Enter" key, the message is sent to the AI assistant, and the response is displayed in a message list above. Users can also retry sending messages if there is an error or if the assistant fails to respond.

The app is built using TypeScript and React, leveraging the Next.js framework for server-side rendering and routing. It utilizes Tailwind CSS for styling, providing a responsive and modern user interface. The application supports dark mode through a theme provider, allowing users to switch between light and dark themes seamlessly.

Key features of the app include:
- An auto-resizing text area for message input.
- A message list that displays both user and assistant messages, with visual differentiation.
- Typing indicators to show when the assistant is processing a response.
- Error handling with retry functionality for failed messages.
- A responsive design that adapts to different screen sizes.

Overall, this chatbot application serves as a foundational template for developers looking to integrate AI capabilities into their web applications, providing a user-friendly interface and robust functionality.

Deep Infra Starter

This app is a Tip Calculator designed to help users easily calculate tips based on their bill amounts and selected service categories. It features a user-friendly interface that allows users to input their bill amount, select a service type, and choose a tip percentage, either from predefined options or by customizing their own percentage.

To use the app, users can start by entering the bill amount in a designated input field. They can then select a service category from a dropdown menu, which provides suggested tip percentages based on common dining experiences. If users prefer, they can opt for a custom percentage using a slider. The app dynamically calculates the tip amount and total cost, displaying the results in a clear format. Users can also choose to round the total up or down, with the app providing the corresponding tip amounts for each option.

The app is built using React and TypeScript, leveraging hooks for state management and debouncing input values to optimize performance. Key features include a responsive design that adapts to different screen sizes, a retro-themed visual style with animated backgrounds, and real-time calculations that update as users interact with the input fields and sliders.

Additional functionalities include error handling for invalid bill amounts, a clear button to reset the input, and a visually appealing layout that enhances user experience. The app also incorporates a canvas element to create animated money bills and a retro grid background, adding a unique aesthetic to the overall design.

This application is a simple chatbot built using Next.js, the Vercel AI SDK, and Groq. It provides a user-friendly interface for interacting with an AI assistant, allowing users to send messages and receive responses in real-time.

To use the app, users can type their messages into an auto-resizing text area at the bottom of the screen. The chatbot processes the input and displays the conversation history above the input area. Users can submit their messages by pressing the "Enter" key or by clicking a submit button. If the AI is processing a response, a typing indicator will be shown to inform users that the assistant is generating a reply.

The app is built using several technologies, including TypeScript, React, and Tailwind CSS for styling. It leverages the Next.js framework for server-side rendering and routing, and it utilizes the Vercel AI SDK to handle AI interactions. The application also implements a theme provider to support light and dark modes, enhancing the user experience.

Key features of the app include:
- An auto-resizing text area for message input, which adjusts its height based on the content.
- A message list that displays the conversation history, with distinct styles for user and assistant messages.
- A typing indicator that appears while the AI is generating a response.
- Error handling that provides feedback to users in case of connection issues or if the AI service runs out of credits.
- A retry mechanism that allows users to attempt to resend messages if an error occurs.

Overall, this chatbot application serves as a foundational template for developers looking to create interactive AI-driven experiences.

The app is a cloud computing marketplace called NexGPU, designed to provide users with on-demand access to high-performance computing resources, including GPUs, TPUs, FPGAs, and CPUs. It allows users to rent these resources by the hour, making it suitable for various compute-intensive tasks such as AI training, machine learning, rendering, and scientific computing.

To use the app, users can browse the marketplace to find available hardware, configure their desired specifications, and deploy instances with just a few clicks. The app features a user-friendly interface that includes a dashboard for managing active rentals, viewing billing history, and accessing account settings. Users can also view detailed product pages for each resource, which include specifications, pricing, and availability.

The app is built using modern web technologies, including TypeScript, React, and Next.js for the frontend, and integrates with Stripe for payment processing. It utilizes Tailwind CSS for styling, ensuring a responsive and visually appealing design. The app also employs various UI components for a consistent user experience, such as cards, buttons, and forms.

Key features of the app include:
- A marketplace for renting high-performance computing resources with transparent pricing.
- Instant deployment of compute instances, allowing users to get started quickly.
- A flexible billing model that charges users only for the time they use the resources, with no hidden fees.
- A dashboard for managing active rentals, viewing rental history, and tracking billing information.
- Support for multiple payment methods, including credit cards and PayPal.
- A responsive design that works well on both desktop and mobile devices.
- 24/7 customer support to assist users with any inquiries or issues.

Overall, NexGPU aims to democratize access to powerful computing resources, making them available to individual developers, startups, and enterprises alike.

This application is an image converter tool that allows users to convert images to various formats, including PNG, JPEG, WebP, and AVIF. It supports both individual image uploads and ZIP file uploads containing multiple images. The app provides a user-friendly interface for selecting files, monitoring conversion progress, and downloading the converted images or ZIP files.

To use the app, users can either drag and drop images or ZIP files into designated areas or click to select files from their device. Once files are selected, users can choose the desired output format for conversion. The app displays a progress bar to indicate the conversion status and provides alerts for any errors or warnings during the process.

The application is built using React and TypeScript, leveraging various libraries such as Radix UI for UI components, JSZip for handling ZIP file operations, and Tailwind CSS for styling. Key features include:

- Support for multiple image formats and batch processing of images within ZIP files.
- A responsive design that adapts to different screen sizes.
- Real-time progress updates during the conversion process.
- Language support with a language selector for internationalization.
- Alerts and notifications for user feedback on errors and warnings.
- A visually appealing interface with animations and gradient backgrounds.

Overall, this image converter tool provides a comprehensive solution for users looking to convert images efficiently and effectively.

Tea Farm Integration Tool for Identifying Nitrogen Fixing Crops

Nitrogen Fixing Farm Map

Notebook Configurator with 3d flip book

Notebook Configurator

The She Shield app is a comprehensive safety initiative designed specifically for female students at SRM University. Its primary goal is to create a secure environment where women can thrive academically and personally. The app provides various features aimed at enhancing safety awareness, offering emergency assistance, and educating users about their rights.

To use the app, users can navigate through its intuitive interface to access emergency features, safety resources, and legal information. Key functionalities include an SOS button for immediate assistance, location sharing capabilities, and a directory of emergency contacts. Users can also explore safety laws and campus policies, as well as access educational materials and community support resources.

The app is built using modern web technologies, including TypeScript and React, with a focus on responsive design to ensure usability across devices. It employs Tailwind CSS for styling, providing a clean and user-friendly interface. The app also integrates toast notifications for user feedback and alerts.

Key features of the She Shield app include:
- A dedicated safety alert system for immediate assistance on campus.
- Access to a comprehensive directory of emergency contacts, including campus security and local helplines.
- Educational resources detailing safety laws and rights for women.
- Community support features, allowing users to connect with peers and mentors.
- Emergency response protocols and personal safety strategies.
- Downloadable resources, including safety guides and training materials.

Overall, the She Shield app serves as a vital tool for empowering women at SRM University, ensuring they have the knowledge and resources necessary to navigate their campus safely.

Women safety website

This application is a terminal emulator designed to provide a user-friendly interface for executing commands and managing files, inspired by modern terminal experiences. It allows users to input commands, view outputs, and navigate through a file system, all within a visually appealing environment.

To use the app, users can type commands into the command input field, which supports command history navigation and basic autocomplete functionality. The terminal displays the results of executed commands, including success, error, and warning statuses. Users can also access a file browser to navigate through their project files and folders, toggle between different views, and customize the terminal's theme.

The app is built using TypeScript and React, leveraging various libraries for UI components and icons, such as Lucide for icons and Tailwind CSS for styling. The application structure includes components for the terminal interface, command input, command history display, file browsing, and theme selection.

Key features of the app include:
- Command input with history navigation and autocomplete suggestions.
- Display of command outputs with status indicators (success, error, warning).
- A file browser for easy navigation of project files and folders.
- The ability to toggle between split view and single view for command output.
- A theme selector to customize the terminal's appearance with multiple themes.
- Keyboard shortcuts for quick access to various functionalities, such as toggling the file browser and changing themes.
- Command suggestions to assist users in executing common commands.

Overall, this terminal emulator aims to enhance productivity by providing a streamlined interface for command execution and file management, making it suitable for developers and users who frequently interact with command-line tools.

Terminal Interface

The ComfyUI Workflow Analyzer is a web application designed to analyze and visualize ComfyUI workflow files and associated image metadata. It allows users to upload JSON files representing workflows, which are then parsed and displayed in a user-friendly interface. The app also supports image uploads to extract metadata, including prompts and parameters used in the workflow.

To use the app, users can upload a ComfyUI workflow JSON file by dragging and dropping it into the designated area or by clicking to browse their files. The application will parse the uploaded file and display the workflow in a visual format, along with detailed statistics about the nodes and connections. Users can also upload images to extract metadata, which may include prompts and other relevant information.

The app is built using modern web technologies, including TypeScript, React, and Tailwind CSS for styling. It utilizes the React Flow library for visualizing workflows, allowing for interactive manipulation of nodes and connections. The application also employs various utility functions for exporting workflow and image metadata in JSON format.

Key features of the ComfyUI Workflow Analyzer include:
- File uploader for both workflow JSON files and images.
- Workflow visualizer that displays nodes and connections in an interactive format.
- Detailed statistics about the workflow, including total nodes, connections, and node types.
- Metadata extraction from uploaded images, including prompts and parameters.
- Export functionality to download analyzed workflow and image metadata as JSON files.
- Responsive design that adapts to different screen sizes for optimal usability.

Overall, the ComfyUI Workflow Analyzer provides a comprehensive tool for users to analyze and visualize their workflows and associated image data, enhancing their experience with ComfyUI.

Comfyui workflow analyzer

Custom Linktree Website

Product Description Component

Product Description Component

This application is a visually engaging snow effect simulator that overlays animated snowflakes and lens drops on a background image. It is designed to create a dynamic winter scene, enhancing the visual appeal of web pages or applications.

To use the app, users simply need to integrate it into their React application. The main component, SnowScene, requires an image URL and an optional alt text for the image. The app automatically adjusts to the dimensions of the container it is placed in, ensuring a responsive design. Users can interact with a control panel to customize various parameters of the snow effect, including the number of snowflakes, their size, speed, wind strength, and blur amount. Additionally, users can enable or disable a lens drop effect, which simulates the appearance of water droplets falling.

The app is built using TypeScript and React, leveraging hooks such as useEffect and useState for managing state and lifecycle events. The snowflakes are rendered using a combination of canvas and SVG elements, allowing for smooth animations and visual effects. The application also employs CSS animations for the falling snowflakes and lens drops, providing a fluid and immersive experience.

Key features of the app include:
- Customizable snowflake parameters through a user-friendly control panel.
- Responsive design that adapts to different screen sizes.
- Animated snowflakes that fall from the top of the screen, with varying sizes, speeds, and opacities.
- An optional lens drop effect that adds realism to the snow scene.
- Efficient rendering using both canvas and SVG for optimal performance.

Overall, this app serves as a creative tool for developers looking to enhance their web applications with a winter-themed visual effect.

Snow effect for image

Demo on accessibility for moving cards around a screen via keyboard.

Accessible Canvas

Image Cropper

Wizard form with persistence and optional steps. Next Js and Shadcn UI

A preferences card for a split between audiences

Gender Split Card

Type Jaldi is a web application designed to help users improve their typing skills through engaging typing tests. The app allows users to select their username, configure test options such as time limits and word counts, and track their performance in real-time.

To use the app, users start by entering their username, which personalizes their experience. They can then choose from various test options, including different time limits (ranging from 10 seconds to 5 minutes) and text lengths (short, medium, or long). Once the test begins, users type a provided passage while the app tracks their words per minute (WPM), accuracy, and errors. After completing the test, users receive a detailed report of their performance, including a rating based on their WPM and accuracy.

The app is built using modern web technologies, including TypeScript and React for the frontend, and utilizes libraries such as Framer Motion for animations and Lucide React for icons. The user interface is designed with a focus on aesthetics and usability, featuring customizable themes that enhance the visual experience.

Key features of Type Jaldi include:
- User-friendly interface for entering usernames and selecting test options.
- Real-time tracking of typing performance, including WPM, accuracy, and error count.
- Dynamic feedback and ratings based on user performance.
- Customizable themes to enhance the visual experience.
- A leaderboard showcasing the last ten users and their performance metrics.
- Responsive design that adapts to various screen sizes.

Overall, Type Jaldi aims to provide a fun and effective way for users to practice and improve their typing skills while enjoying a visually appealing and interactive experience.

This application is a simple chatbot built using the Vercel AI SDK and xAI, designed to facilitate user interaction through a conversational interface. It leverages Next.js for server-side rendering and client-side interactivity, providing a responsive and dynamic user experience.

To use the app, users can enter messages into a text area at the bottom of the chat interface. The chatbot processes these messages and responds accordingly. Users can submit their input by pressing the "Enter" key or by clicking a submit button. The chat interface displays a list of messages exchanged between the user and the chatbot, along with a typing indicator when the chatbot is processing a response.

The app is built using several technologies, including TypeScript for type safety, React for building user interfaces, and Tailwind CSS for styling. The application also utilizes the Next Themes library to support dark mode and light mode themes, enhancing user experience based on individual preferences.

Key features of the app include:
- A responsive chat interface that adjusts to user input.
- An auto-resizing text area that expands as the user types, improving usability.
- A message list that displays both user and assistant messages, with distinct styling for each.
- Error handling that provides feedback to users in case of connection issues or when the AI service runs out of credits.
- A retry mechanism that allows users to attempt to resend messages if an error occurs.

Overall, this chatbot starter app serves as a foundational template for developers looking to implement AI-driven conversational interfaces in their applications.

This app is a simple music player that allows users to upload and play audio files directly from their device. It features a user-friendly interface that includes a play/pause button and a file upload option. The app is built using TypeScript and React, leveraging modern web technologies to create a responsive and interactive experience.

To use the app, users can click the play/pause button to either start or stop playback of the selected audio file. If no file has been uploaded, clicking the button will prompt the user to select an audio file from their device. Once a file is selected, the app will load the audio and allow playback. The status of the player is indicated through a status text that updates based on whether a file is uploaded and whether the audio is currently playing.

Key features of the app include:
- File upload functionality that supports audio files.
- Play and pause controls for audio playback.
- Visual feedback through icons that change based on the player's state (upload, play, pause).
- Responsive design that adapts to different screen sizes.
- Clean and modern user interface with hover effects and transitions.

The app utilizes React's state management to handle the playback state and file selection, and it employs the HTML audio element for audio playback. The use of TypeScript ensures type safety and improved developer experience. Overall, this app provides a straightforward solution for users looking to play audio files in a web environment.

Simple music player

This Chart only animates the last data point which creates a more realistic trading chart experience.

Real-Time Chart (Trading UX)

The app is a digital eSIM service platform designed for users in Myanmar, allowing them to purchase and manage eSIM cards for mobile connectivity. It provides a user-friendly interface for customers to select data packages, track orders, and access support services.

Users can navigate through various features, including:

1. **Order Management**: Users can track the status of their orders, view payment details, and receive notifications about their eSIM status. The app provides real-time updates on order processing, payment confirmation, and eSIM delivery.

2. **Data Packages**: The app offers a selection of data packages from different carriers, allowing users to choose based on their needs. Each package includes details such as data allowance, validity, and pricing.

3. **Checkout Process**: Users can complete their purchases through a secure checkout process, where they provide their contact information and payment details. The app validates user inputs to ensure accuracy.

4. **Support and FAQs**: The app includes a support section where users can find answers to common questions about eSIM technology, activation processes, and troubleshooting. Users can also contact support directly through various channels.

5. **Admin Portal**: An administrative interface allows authorized personnel to manage orders, products, and customer inquiries. Admins can view order details, update statuses, and manage customer information.

6. **AI Features**: The app incorporates AI-driven recommendations for eSIM plans based on user preferences and usage patterns. It also features an AI chatbot for customer support, providing instant responses to user queries.

7. **Responsive Design**: The app is designed to be responsive, ensuring a seamless experience across different devices, including mobile phones and tablets.

The app is built using modern web technologies, including TypeScript, React, and Next.js, with a focus on performance and user experience. It utilizes various libraries for UI components, animations, and state management, ensuring a smooth and interactive interface. The backend is powered by a RESTful API that handles data management, order processing, and user authentication.

Key features include:
- Real-time order tracking and status updates
- A variety of data packages from multiple carriers
- Secure checkout and payment processing
- AI-driven plan recommendations
- Comprehensive support and FAQ sections
- An admin portal for order and product management

Overall, the app aims to simplify the process of obtaining and managing eSIM cards, making it accessible and efficient for users in Myanmar.