📄 Summarize My PDF 🤖

🎥 Video Preview

---

(Currently Under Construction — So Close Yet So Far!) 🚧

This project is like your favorite dish in the oven – it smells great, but you can’t eat it just yet! 🍕 While it’s still baking, feel free to peek behind the scenes. 😎

Update: This is the hardest project I have built up until now. Unfortunately, Stripe has now switched their policy, and I can't create an account unless I get an invite. Therefore, I won’t be deploying this SaaS. However, you can still tinker with it in local development. Please make sure to leave a star if you like it! ⭐

---

Welcome to Summarize My PDF AI! This project allows users to upload a PDF, splits the document into multiple embeddings, stores them in Pinecone DB, and uses those embeddings in a chatbot to provide accurate and contextual answers, with chats stored in PostgreSQL.

🎯 Features

• 📂 Drag-and-Drop PDF Upload
• 🧠 PDF Content Summarization
• 🌐 Pinecone DB for Embeddings
• 💬 AI Chatbot with Contextual Understanding
• 🗃️ Chat History Stored in PostgreSQL
• ☁️ AWS S3 for File Storage

---

🚀 Getting Started

Follow the steps below to get the project up and running on your local machine.

1. Clone the Repository

git clone https://github.com/dankgarlic1/SummarizeMyPDF.git
cd summarize-my-pdf-ai

2. Install Dependencies

Make sure you have Node.js installed, then install the project dependencies:

npm install

3. Set Up Environment Variables

Create a .env file in the root directory and add the necessary environment variables. Do not share your API keys publicly! Make sure your .env file contains something like this:

# Clerk API Keys
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=<your_clerk_publishable_key>
CLERK_SECRET_KEY=<your_clerk_secret_key>

# Database
DATABASE_URL=<your_database_url>

# AWS S3
NEXT_PUBLIC_S3_ACCESS_KEY_ID=<your_s3_access_key>
NEXT_PUBLIC_S3_SECRET_ACCESS_KEY=<your_s3_secret_access_key>
NEXT_PUBLIC_S3_BUCKET_NAME=<your_s3_bucket_name>

# Pinecone DB
PINECONE_API_KEY=<your_pinecone_api_key>

# OpenAI
OPENAI_API_KEY=<your_openai_api_key>

4. Run the Development Server

Start the development server with:

npm run dev

Your app will be running at http://localhost:3000 🚀.

---

🐳 Docker Setup

To run this project using Docker, follow these steps:

1. Create an Empty Project Directory

   Create a directory for your project and navigate into it.

2. Create a .env File

   Inside the directory, create a .env file and use the sample provided above to add your environment variables.

3. Pull the Docker Image

   docker pull harshitraizada63/summarize-my-pdf

4. Run the Docker Container

   Run the container using the following command:

   docker run -p 3000:3000 --env-file .env harshitraizada63/summarize-my-pdf

5. Access the App

   Your app will be available at http://localhost:3000.

---

🛠️ Technologies Used

• Next.js - Server-side rendering and static site generation 🌐
• PostgreSQL - Robust database for storing chat history 🗄️
• Pinecone - Vector database for efficient embeddings 📊
• OpenAI - AI models for summarization and contextual chat 🤖
• AWS S3 - File storage for uploaded PDFs ☁️
• React Dropzone - Smooth drag-and-drop PDF upload 📂
• Drizzle ORM - Simple, yet powerful ORM for database operations 🛠️

---

🔥 Running Database Migrations

To push database changes to PostgreSQL, run:

npm run db:push

To access the database studio:

npm run db:studio

---

🎨 Styling

TailwindCSS is used for quick and scalable UI development. All components are highly customizable via props.

---

🧑‍💻 Local Development Tips

• For managing API keys securely, always use environment variables.
• Use react-hot-toast for displaying notifications and loading states.
• For custom embeddings and PDF content processing, @pinecone-database/doc-splitter handles PDF chunking efficiently.

---

⚠️ Important Note

In the FileUpload component, I hardcoded my email (raizadaharshit2004@gmail.com) to allow unlimited PDF sessions while other users have a limit of two. To ensure fair use and limit resources, please comment out or remove the part of the code where my email is hardcoded:

const isSpecialUser = userEmail === "raizadaharshit2004@gmail.com";

Feel free to explore the project 🚀