Lovable Prompt Creator - AI Prompt Generator

## APPLICATION OVERVIEW
This application is a web app designed to scrape and compile product reviews from popular e-commerce platforms such as Amazon, Flipkart, and Meesho. The main purpose is to provide users with an intuitive dashboard that summarizes reviews, allows for easy management of product links, and sends daily email reports of newly added reviews.

## CORE FEATURES
1. **Review Scraping**: Automatically scrape and compile reviews from up to 50 product links daily for Amazon, Flipkart, and Meesho using appropriate methods for each platform.
2. **Daily Email Reports**: Send dynamic daily email reports of newly added reviews to specified email addresses, allowing users to add or remove emails easily.
3. **Dashboard**: A user-friendly dashboard that summarizes product-wise reviews and provides separate views for Amazon, Flipkart, and Meesho.
4. **Sentiment Analysis**: Implement simple rule-based sentiment analysis to classify reviews as positive, negative, or neutral.
5. **Product Link Management**: Enable users to upload product links via Excel (.xlsx and .csv formats) and easily add or remove products from the list.
6. **Intuitive User Interface**: Focus on a clean and simple design that enhances usability and facilitates easy management of product links and review summaries.

## DESIGN SPECIFICATIONS
- **Visual Style**: minimalist - Clean, simple design with plenty of white space, minimal color palette, and focus on typography.
- **Color Mode**: Light theme with dark text on light backgrounds.
- **Primary Color**: #1978E5 (accent for buttons, links, highlights).
- **Typography**: Use Inter from Google Fonts for headings, Inter for body text and UI elements.
- **Border Radius**: 8px (moderately rounded) for buttons, cards, and inputs.
- **Layout**: The layout will feature a top navigation bar, a main content area for the dashboard, and side panels for managing product links and settings, ensuring a responsive design that works well on both desktop and mobile devices.

## TECHNICAL REQUIREMENTS
- **Framework**: React with TypeScript.
- **Styling**: Tailwind CSS for responsive and customizable styling.
- **UI Components**: shadcn/ui for modern UI components.
- **State Management**: Utilize React's Context API or a state management library like Redux if complex state management is needed.

## IMPLEMENTATION STEPS
1. **Set Up Project**: Create a new React project with TypeScript and install necessary dependencies (React, Tailwind CSS, shadcn/ui).
2. **Design UI Components**: Develop UI components for the dashboard, product link management, and review summaries, ensuring they adhere to the design specifications.
3. **Implement Scraping Functionality**: Create functions for scraping reviews from Amazon (using BeautifulSoup), Flipkart (using Playwright), and Meesho (using GraphQL API). 
4. **Email Notification System**: Develop a system to send daily email reports, ensuring users can dynamically manage email addresses.
5. **Sentiment Analysis**: Implement a basic sentiment analysis algorithm to analyze and categorize reviews.
6. **Excel Upload Functionality**: Allow users to upload product links via Excel, handling both .xlsx and .csv formats.
7. **Testing**: Thoroughly test the application for functionality, usability, and performance across different devices.

## USER EXPERIENCE
Users will interact with a clean and intuitive dashboard where they can view aggregated reviews from multiple platforms. They will have the ability to upload product links easily, manage email notifications, and receive daily summaries of reviews. The sentiment analysis feature will provide insights into the overall sentiment of the reviews, enhancing the user’s understanding of product reception. The application will ensure a seamless experience across devices, promoting accessibility and usability.