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Save Money. Shop Smarter.
SmartCart AI is an AI-powered shopping assistant designed to help users track Amazon prices, analyze price trends, compare products, and receive real-time alerts on price drops. It also offers AI-driven customer review analysis and personalized shopping insights, ensuring you always make the best purchasing decisions.
✔️ Price Tracking – Monitor price fluctuations and set alerts for price drops.
✔️ Price History Charts – View historical trends to make informed decisions.
✔️ Product Comparison – Compare multiple products side by side.
✔️ AI-Powered Review Analysis – Get insights from customer reviews.
✔️ Real-Time Alerts – Never miss out on discounts and deals.
✔️ Smart Shopping Insights – Personalized AI-driven recommendations.
└── SmartCartAI/
├── LICENSE
├── README.md
├── bun.lockb
├── components.json
├── eslint.config.js
├── index.html
├── package-lock.json
├── package.json
├── postcss.config.js
├── public
│ ├── _redirects
│ ├── favicon.svg
│ ├── placeholder.svg
│ ├── shopping-doodle-1.svg
│ ├── shopping-doodle-2.svg
│ └── shopping-doodle-3.svg
├── src
│ ├── App.tsx
│ ├── components
│ │ ├── CamelPriceChart.tsx
│ │ ├── CompareButton.tsx
│ │ ├── CompareNavItem.tsx
│ │ ├── DashboardSidebar.tsx
│ │ ├── Features.tsx
│ │ ├── Footer.tsx
│ │ ├── Hero.tsx
│ │ ├── Navbar.tsx
│ │ ├── PriceHistoryChart.tsx
│ │ ├── ProductCard.tsx
│ │ ├── ProductChatbot.tsx
│ │ ├── ProductSearch.tsx
│ │ ├── RecentlyViewed.tsx
│ │ ├── SentimentAnalysis.tsx
│ │ └── ui
│ ├── contexts
│ │ └── ComparisonContext.tsx
│ ├── hooks
│ │ ├── use-mobile.tsx
│ │ └── use-toast.ts
│ ├── index.css
│ ├── integrations
│ │ └── supabase
│ ├── lib
│ │ └── utils.ts
│ ├── main.tsx
│ ├── pages
│ │ ├── Auth.tsx
│ │ ├── Compare.tsx
│ │ ├── Dashboard.tsx
│ │ ├── Index.tsx
│ │ ├── NotFound.tsx
│ │ ├── ProductDetail.tsx
│ │ └── Watchlist.tsx
│ └── vite-env.d.ts
├── supabase
│ ├── config.toml
│ ├── functions
│ │ ├── amazon-product-details
│ │ ├── amazon-product-search
│ │ ├── check-price-alerts
│ │ ├── daily-price-tracking
│ │ ├── gemini-insights
│ │ ├── keepa-price-history
│ │ ├── product-chatbot
│ │ ├── product-sentiment-analysis
│ │ ├── save-product
│ │ └── update-product-insights
│ └── migrations
│ ├── 20240620213000_add_chat_tables.sql
│ └── 20240621100000_add_chat_stored_procedures.sql
├── tailwind.config.ts
├── tsconfig.app.json
├── tsconfig.json
├── tsconfig.node.json
└── vite.config.ts
SMARTCARTAI/
__root__
src
contexts
lib
integrations
supabase
components
ui
hooks
pages
supabase
functions
amazon-product-details
keepa-price-history
update-product-insights
product-chatbot
save-product
product-sentiment-analysis
check-price-alerts
daily-price-tracking
gemini-insights
amazon-product-search
migrations
public
Before getting started with SmartCartAI, ensure your runtime environment meets the following requirements:
Install SmartCartAI using one of the following methods:
Build from source:
- Clone the SmartCartAI repository:
❯ git clone https://github.com/yk0007/SmartCartAI
- Navigate to the project directory:
- Install the project dependencies:
Using npm 
Run SmartCartAI using the following command:
Using npm
Run the test suite using the following command:
Using npm
Contributing Guidelines
- Fork the Repository: Start by forking the project repository to your github account.
- Clone Locally: Clone the forked repository to your local machine using a git client.
git clone https://github.com/yk0007/SmartCartAI
- Create a New Branch: Always work on a new branch, giving it a descriptive name.
git checkout -b new-feature-x
- Make Your Changes: Develop and test your changes locally.
- Commit Your Changes: Commit with a clear message describing your updates.
git commit -m 'Implemented new feature x.'
- Push to github: Push the changes to your forked repository.
git push origin new-feature-x
- Submit a Pull Request: Create a PR against the original project repository. Clearly describe the changes and their motivations.
- Review: Once your PR is reviewed and approved, it will be merged into the main branch. Congratulations on your contribution!
This project is protected under the Apache License 2.0 License. For more details, refer to the LICENSE file.
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