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This application is a web-based platform designed for managing and interacting with a SaaS (Software as a Service) community, specifically the SaaS Yacht Club. It features a sidebar for navigation, an AI chat interface, and various user interaction components.

Users can navigate through different sections such as the dashboard, analytics, projects, and settings using the sidebar. The sidebar can be toggled open or closed, and it includes options for managing integrations and notifications. The sidebar also supports a collapsible view for mobile devices, enhancing usability on smaller screens.

The AI chat interface allows users to send and receive messages in a conversational format. Users can type their messages in a text area and submit them, with the chat displaying both user and bot messages in a visually distinct manner. The chat interface also includes a header with user information and a notification button.

Key features of the application include:
- A responsive sidebar that adapts to different screen sizes, providing easy access to various sections of the application.
- An AI chat interface that allows for real-time communication, with the ability to send messages and receive responses.
- Integration management, where users can view and manage their connected services.
- Notifications for user updates and alerts.
- A modal for handling locked features, prompting users to upgrade their plans for additional access.

The application is built using modern web technologies, including React for the frontend, Next.js for server-side rendering, and Tailwind CSS for styling. It utilizes various UI components from libraries such as Radix UI for accessibility and design consistency. The application also incorporates state management for handling user interactions and notifications effectively.

To use the application, users can navigate through the sidebar to access different features, interact with the AI chat, and manage their settings and integrations. The application is designed to be intuitive and user-friendly, catering to both desktop and mobile users.

SaaS Yacht Club - Sidebar/AI

The Mumbai Rickshaw Fare Calculator is a web application designed to help users calculate the fare for auto rickshaw rides in Mumbai. The app utilizes GPS tracking to provide real-time fare calculations based on distance traveled, waiting time, and applicable surcharges, such as night rates.

To use the app, users need to enable location services on their device. Once location access is granted, they can start their journey by tapping the "START" button. The app will automatically track the distance and waiting time during the ride. When the journey is complete, users can tap the "STOP TRIP" button to end the session and view the final fare.

The application is built using modern web technologies, including TypeScript, React, and Tailwind CSS for styling. It is deployed on Vercel and is designed to function as a Progressive Web App (PWA), allowing users to install it on their devices for easy access. The app also features a service worker for offline capabilities and improved performance.

Key features of the Mumbai Rickshaw Fare Calculator include:
- Real-time fare calculation based on distance and waiting time.
- Automatic tracking of the user's location during the ride.
- Night surcharge calculations for rides taken between 12 AM and 5 AM.
- A fare chart displaying current rates for different distances.
- Instructions for users on how to effectively use the app.
- PWA capabilities, allowing users to install the app on their devices.

Overall, the Mumbai Rickshaw Fare Calculator provides a user-friendly interface for accurately estimating rickshaw fares, making it a valuable tool for both residents and visitors in Mumbai.

Mumbai rickshaw fare

The Sunchaser AI app is designed to provide users with AI-powered travel recommendations for sunny destinations based on their preferences. The app analyzes various factors such as weather, budget, and travel time to suggest ideal getaways.

To use the app, users can input their travel preferences, including outbound and inbound dates, home airport, destination preferences, currency, temperature range, maximum flight time, and budget for flights and hotels. The app features a user-friendly interface with components like date pickers, airport search, and sliders for temperature ranges. Once the preferences are set, users can initiate a search, and the app will analyze hundreds of destinations to find suitable options.

The app is built using modern web technologies, including Next.js for server-side rendering and React for building user interfaces. It utilizes Tailwind CSS for styling, ensuring a responsive and visually appealing design. The app also integrates various UI components from libraries like Radix UI and Lucide for icons, enhancing the user experience.

Key features of the Sunchaser AI app include:
- AI-driven travel recommendations based on user preferences.
- Interactive components such as date pickers and sliders for temperature ranges.
- A comprehensive airport search feature to help users select their home airport.
- The ability to filter destinations based on various criteria, including budget and flight time.
- Suggestions for modifying preferences if no suitable destinations are found.
- Integration with Skyscanner for booking flights directly from the app.

Overall, Sunchaser AI aims to simplify the travel planning process by leveraging AI technology to provide personalized recommendations for sunny vacations.

Sunchaser AI V2

The Harvest Professional Invoice System is a comprehensive application designed for managing invoices, clients, and API credentials, specifically tailored for users of the Harvest platform. This application allows users to create, send, and manage invoices efficiently, leveraging a user-friendly interface and robust backend functionalities.

Users can navigate through various sections of the application using a tabbed interface, which includes options for managing templates, clients, bulk sending invoices, sending single invoices, setting up API credentials, creating custom templates, and monitoring processing status.

Key features of the application include:

1. **Template Management**: Users can create, edit, and save invoice templates. The application supports both default templates for bulk sending and custom templates for individual invoices. Users can also manage their template library, including setting a default template.

2. **Client Database**: The application provides a customer management system where users can add, edit, and delete client information. Users can also import clients in bulk from CSV or text files, ensuring efficient data entry.

3. **Single and Bulk Invoice Sending**: Users can send invoices to individual clients or in bulk to multiple clients using saved templates. The bulk sending feature allows for customizable settings, including delay between sends and batch sizes.

4. **API Credential Management**: Users can upload and manage their Harvest API credentials, allowing for seamless integration with the Harvest API for invoice creation and sending.

5. **Processing Status Monitoring**: The application provides real-time feedback on the status of bulk operations, including success and failure counts, and allows users to export results for further analysis.

6. **User-Friendly Interface**: The application is built using React and TypeScript, ensuring a responsive and interactive user experience. It utilizes various UI components for forms, tables, alerts, and dialogs, enhancing usability.

7. **Data Persistence**: The application simulates a database using local storage, allowing users to retain their templates, clients, and invoices across sessions.

To use the application, users can start by setting up their API credentials, followed by creating or selecting invoice templates. They can then manage their client database and proceed to send invoices either individually or in bulk. The application provides helpful alerts and progress indicators to guide users through their tasks.

Overall, the Harvest Professional Invoice System is a powerful tool for businesses looking to streamline their invoicing processes while maintaining flexibility and control over their client interactions.

The Block Phone app is designed to enhance road safety by automatically blocking mobile devices during high-risk situations, such as when crossing streets or driving. The app aims to reduce accidents and save lives in urban areas, specifically targeting users in Uruguay and Israel.

To use the app, users can navigate through a user-friendly interface that includes several tabs: Home, Dashboard, Analytics, Emergency, and Settings. The Home tab provides an overview of the app's functionality and its impact on safety. The Dashboard offers real-time statistics on user engagement and safety metrics, while the Analytics tab presents detailed insights into system performance. The Emergency tab allows users to quickly access emergency services, and the Settings tab enables customization of the app's features.

The app is built using modern web technologies, including Next.js for server-side rendering and React for building user interfaces. It utilizes Tailwind CSS for styling, ensuring a responsive and visually appealing design. The app also integrates with Vercel for deployment and analytics tracking, allowing for real-time updates and performance monitoring.

Key features of the Block Phone app include:
- Automatic device blocking during risky situations, utilizing advanced sensors and AI technology.
- Real-time monitoring and statistics on user activity and safety incidents.
- An emergency system that connects users to local emergency services with a single tap.
- Customizable settings for different protection modes, such as pedestrian and driving modes.
- A dashboard that displays key performance indicators and alerts for recent safety incidents.

Overall, the Block Phone app combines technology and safety to create a proactive solution for reducing mobile device-related accidents in urban environments.

Cell phone blocker app

This application is a web-based Instagram Story component designed to display a series of multimedia stories, including images and videos, in a format similar to that found on social media platforms. Users can interact with the stories through various gestures, such as tapping, swiping, and pinching, to navigate through the content, pause playback, or zoom in on images.

To use the app, users can click on a story thumbnail to view the full story. Each story consists of multiple items, which can be images or videos, and users can navigate between items using arrow buttons or swipe gestures. The app also features a pause/play button, a close button, and an input field for sending replies to the story creator. Additionally, users can double-tap to react to a story with a heart animation.

The app is built using modern web technologies, including TypeScript and React, and utilizes various libraries for UI components and icons. It employs hooks for managing state and side effects, such as tracking user interactions and managing responsive design for mobile devices. The application also includes an analytics context to track user engagement with stories, capturing metrics such as view counts, unique views, and engagement rates.

Key features of the app include:
- Display of multimedia stories with smooth transitions between items.
- Gesture support for navigation, pausing, and zooming.
- Analytics tracking for user engagement, including views and interactions.
- Responsive design that adapts to different screen sizes.
- Customizable components for video playback, including controls for play/pause, volume, and playback speed.
- A user-friendly interface with visual feedback for interactions, such as heart reactions and gesture hints.

Overall, this app provides a rich and interactive storytelling experience, allowing users to engage with content in a dynamic way while also offering insights into viewer engagement through analytics.

Instagram Story

The app is an e-commerce platform named "YonValue," designed to provide users with a seamless shopping experience for premium products at competitive prices. It features a modern and responsive user interface built using React and TypeScript, leveraging Next.js for server-side rendering and routing.

Users can navigate through various sections of the app, including a homepage that showcases featured products, value propositions such as free shipping and quality guarantees, and a newsletter subscription option. The homepage highlights a selection of handpicked products, each with detailed information including pricing, ratings, and reviews.

The app includes a dedicated products page where users can browse all available items. This page features filtering options by category, price range, and rating, as well as sorting capabilities to help users find products that meet their needs. Users can view products in either grid or list format, with each product card displaying an image, name, price, and an "Add to Cart" button.

A shopping cart page allows users to review their selected items, adjust quantities, and see a summary of their order, including subtotal, shipping, tax, and total cost. The cart also provides options to remove items or proceed to checkout.

Key features of the app include:
- A responsive design that adapts to various screen sizes.
- User-friendly navigation with a sticky header and footer for easy access to important links.
- Product cards that display essential information, including images, prices, ratings, and stock status.
- A shopping cart that allows for easy management of selected items.
- Filtering and sorting options on the products page to enhance the shopping experience.
- A newsletter subscription feature to keep users informed about new products and exclusive deals.

The app utilizes various technologies, including React for the frontend, TypeScript for type safety, and Next.js for routing and server-side rendering. It also incorporates UI components for buttons, cards, and inputs, ensuring a consistent and polished user interface. Overall, YonValue aims to deliver a reliable and enjoyable shopping experience for users seeking quality products at affordable prices.

This application is a marketplace platform designed specifically for students of the Faculty of Science at a university. It allows students to buy and sell products easily while providing a space for vendors to manage their stores and products. The application is built using TypeScript and React, leveraging Next.js for server-side rendering and routing, and utilizes local storage for data persistence.

Key features of the application include:

1. **User Registration and Authentication**: Students can sign up as vendors, providing necessary details such as name, email, department, level, and store information. The application includes a login system for both vendors and administrators.

2. **Vendor Management**: Administrators can review vendor applications, approve or reject them, and manage vendor statuses. The admin dashboard provides insights into vendor statistics and activities.

3. **Product Management**: Vendors can add, edit, and delete products from their stores. They can upload product images and provide detailed descriptions, prices, and categories for each product.

4. **Shopping Cart**: Users can add products to their shopping cart, view their cart contents, and proceed to checkout. The cart functionality is integrated with local storage to maintain state across sessions.

5. **Search and Filter**: Users can search for vendors and products using a search bar, with results filtered based on the input query.

6. **Reviews and Complaints**: Customers can leave reviews for vendors and report issues with products. This feedback is stored and can be managed by the admin.

7. **Analytics and Insights**: The admin dashboard provides analytics on vendor registrations, product availability, and user interactions, helping administrators make informed decisions.

8. **Responsive Design**: The application is designed to be mobile-friendly, ensuring a seamless experience across devices.

The application utilizes various technologies, including:
- **Next.js** for server-side rendering and routing.
- **TypeScript** for type safety and improved developer experience.
- **React** for building user interfaces.
- **Local Storage** for data persistence.
- **CSS** for styling, with utility-first CSS frameworks like Tailwind CSS for rapid UI development.

To use the application, users can navigate to the homepage, where they can either browse vendors or sign up to become a vendor. After logging in, vendors can manage their products and view analytics, while customers can shop and leave reviews. The admin can manage vendor applications and view overall marketplace statistics.

Overall, this application serves as a comprehensive platform for facilitating transactions and interactions within the university community, enhancing the buying and selling experience for students.

EcoShift is a comprehensive application designed to help users track and reduce their carbon footprint while promoting sustainable living practices. The app features a user-friendly interface that allows individuals to input their waste data, calculate their carbon footprint, and receive personalized recommendations for reducing their environmental impact.

To use the app, users can navigate through various sections, including a waste calculator, carbon footprint tracker, and sustainability score assessment. The waste calculator allows users to input their weekly waste in categories such as plastic, paper, glass, and other materials. Once the data is submitted, the app calculates the total waste, carbon footprint, and sustainability score based on the user's inputs. Users can also access insights and action plans tailored to their waste data, providing practical steps to improve their sustainability practices.

The app is built using modern web technologies, including TypeScript, React, and Next.js, ensuring a responsive and efficient user experience. It leverages various UI components for a clean design and integrates with AI-powered features to provide personalized tips and recommendations based on user behavior and preferences.

Key features of EcoShift include:
- A waste calculator that quantifies weekly waste and calculates the associated carbon footprint.
- A carbon footprint display that provides insights into the user's environmental impact and comparisons to average benchmarks.
- A sustainability score that rates the user's practices on a scale from 0 to 100, offering a clear indication of their sustainability efforts.
- Personalized action plans that suggest specific steps users can take to reduce their carbon footprint.
- AI-generated tips and insights that adapt to user inputs, providing tailored advice for sustainable living.
- A community section that encourages users to engage with others, share their progress, and participate in sustainability challenges.

Overall, EcoShift aims to empower individuals to make informed decisions about their environmental impact and foster a community dedicated to sustainable living.

Faculty marketplace design

Ecoshift Calculator