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https://github.com/hemanth1223/revolutionizing_library_systems_with_an_advanced_saas_platform-gpt-llms-langchain

ProlificReader is an advanced SaaS platform designed to revolutionize library systems through AI and NLP capabilities. Leveraging OpenAI's GPT models, this platform provides a sophisticated chatbot interface for seamless user interaction and efficient information extraction from PDF documents.
https://github.com/hemanth1223/revolutionizing_library_systems_with_an_advanced_saas_platform-gpt-llms-langchain

ai artificial-intelligence llms neondb openai-api pinecone shadcn-ui

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ProlificReader is an advanced SaaS platform designed to revolutionize library systems through AI and NLP capabilities. Leveraging OpenAI's GPT models, this platform provides a sophisticated chatbot interface for seamless user interaction and efficient information extraction from PDF documents.

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![ProlificReader Landing Page](https://github.com/hemanth1223/revolutionizing_library_systems_with_an_advanced_saas_platform-GPT-LLMs-LangChain/assets/86236166/68c1e843-669c-4ee3-9cb4-02731791d960)

# ProlificReader - Revolutionizing Library Systems with an Advanced SaaS Platform 📚



## Introduction

Welcome to ProlificReader! This platform aims to revolutionize library systems by integrating advanced SaaS features with cutting-edge AI and NLP capabilities. Users can interact with the system through a sophisticated chatbot interface and extract information from PDF documents effortlessly.



## Features

🗣️ Chatbot Interface: Natural language understanding and generation using OpenAI's GPT models.



📄 PDF Document Processing: Upload and extract text content efficiently with the uploadthing library.



🔍 Text Splitting: Utilize the langchain library for segmenting and analyzing text.



🔐 User Authentication: Secure access with the Kinde authentication system.



🗄️ Efficient Data Management: Store and retrieve data using the Neon database.



🌐 Collaboration: Seamless integration with GitHub for version control and collaboration.



🚀 Automated Deployment: Deploy effortlessly using Vercel.



## System Requirements

### Functional Requirements

Chatbot Interface: Natural language understanding and generation using OpenAI's GPT models.



PDF Processing: Upload and extract text content using uploadthing.



Text Splitting: Use langchain for text segmentation.



User Authentication: Secure access with Kinde.



Data Management: Efficient storage and retrieval using Neon database.



Collaboration: Integration with GitHub for version control.



Deployment: Automated using Vercel.



### Non-functional Requirements

Performance: Low latency (< 500ms response time).



Reliability: 99.9% uptime.



Scalability: Horizontally scalable architecture.



Security: Data encryption during transmission and storage.



Usability: Intuitive and user-friendly interface.



Compatibility: Supports modern web browsers.



Maintainability: Well-documented and modular structure.



### Hardware Requirements

Server Infrastructure: Adequate CPU, RAM, and storage.



Internet Connectivity: High-speed for efficient data processing.



### Software Requirements

Operating System: Windows



Coding Environment: Visual Studio Code (VS Code)



Database: Neon



Vector Database: Pinecone



Backend Framework: JavaScript Frameworks



AI Model Integration: OpenAI's GPT models



Text Splitter: langchain library



PDF Extraction: uploadthing



Web Browser: Chrome, Firefox, Safari



User Interface Library: shadcn/ui



User Authentication: Kinde



Collaboration Tool: GitHub



Deployment Tool: Vercel



## Flow Chart

Load PDF Document



Extract Text from PDF



Process Text: Cleaning, Tokenization, Stop Word Removal, Stemming/Lemmatization, Part-of-Speech Tagging.



Create Index Embeddings/Vectors



Wait for User Query



Process Query



Retrieve Information



Generate Response



Send Response to User



## Installation

### Clone the Repository:

```bash

git clone https://github.com/yourusername/prolificreader.git

```

### Navigate to the Project Directory:

```bash

cd prolificreader

```

### Install Dependencies:

```bash

npm install

```

### Configure Environment Variables:

Create a .env file and add your configuration settings.

### Run the Development Server:

```bash

npm run dev

```



## Usage

Upload PDF: Navigate to the PDF upload section and upload your document.



Chat with the Bot: Use the chat interface to ask questions and receive answers based on your document's content.



Access Documents: Retrieve and view processed documents from the database.



## Getting Started with Next.js

This is a Next.js project bootstrapped with create-next-app.



First, run the development server:

```bash

npm run dev

# or

yarn dev

# or

pnpm dev

# or

bun dev

```

Open http://localhost:3000 with your browser to see the result.



You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.



This project uses [next/font](https://nextjs.org/docs/pages/building-your-application/optimizing/fonts) to automatically optimize and load Inter, a custom Google Font.



## Learn More

To learn more about Next.js, take a look at the following resources:

[Next.js Documentation](https://nextjs.org/docs) - learn about Next.js features and API.



[Learn Next.js](https://nextjs.org/learn) - an interactive Next.js tutorial.



You can check out the [Next.js GitHub repository](https://github.com/vercel/next.js/) - your feedback and contributions are welcome!



## Deploy on Vercel

The easiest way to deploy your Next.js app is to use the [Vercel Platform](https://vercel.com/new?utm_medium=default-template&filter=next.js&utm_source=create-next-app&utm_campaign=create-next-app-readme) from the creators of Next.js.



Check out our [Next.js deployment documentation](https://nextjs.org/docs/pages/building-your-application/deploying) for more details.



Happy Reading! 📚✨