Launch research paper analysis application in Next.js

README.md

@@ -1,59 +1,30 @@
-## Research Paper Context Builder
+# Research Paper Context Builder
 
-A small web app that helps you quickly understand research papers by turning a PDF into a concise, structured context summary.
+A Next.js web application that helps you quickly understand research papers by generating structured AI-powered summaries.
 
-The app extracts text from a PDF and asks an LLM to summarise it into clear sections like **Key Findings**, **Evidence & Methodology**, **Limitations & Improvements**, **Future Work**, and **Practical Implications**.
+## Features
 
-### Features
+- **PDF Upload & Summarize**: Upload research papers and get AI-generated structured summaries with Key Findings, Evidence & Methodology, Limitations, Future Work, and Practical Implications
+- **Compare Papers**: Compare multiple papers side-by-side to identify similarities, differences, and complementary insights
+- **Find Citations**: Search for related academic papers using the Semantic Scholar API
 
-- **PDF upload**: Drop in any research paper in PDF format.
-- **Automatic text extraction**: Uses `PyPDF2` to read the text from each page.
-- **Structured summary**: Short bullet-point sections designed to be skimmable.
-- **User‑friendly UI**: Built with Streamlit; runs locally in your browser.
-
-### 1. Prerequisites
-
-- Python 3.9+ installed
-- An OpenAI API key (or compatible API) with access to the specified model
-
-### 2. Installation
-
-From the project folder (`Context_builder`):
-
-```bash
-python -m venv .venv
-.venv\Scripts\activate
-pip install -r requirements.txt
-```
-
-### 3. Environment variables
-
-Create a `.env` file in the project root with:
-
-```bash
-OPENAI_API_KEY=your_api_key_here
-# Optional – override the default model:
-OPENAI_MODEL=gpt-4.1-mini
-```
-
-> You can also set these as normal environment variables instead of using a `.env` file.
-
-### 4. Run the app
-
-From the project root:
+## Getting Started
 
 ```bash
-streamlit run app.py
+pnpm install
+pnpm dev
 ```
 
-Then open the URL shown in the terminal (usually `http://localhost:8501`) in your browser.
+Open [http://localhost:3000](http://localhost:3000) in your browser.
 
-### 5. Usage
+## Environment Variables
 
-1. Upload a research paper PDF from the left sidebar.
-2. (Optional) Toggle **Show extracted text preview** to inspect what was read from the PDF.
-3. Click **Generate Context Summary**.
-4. Read the structured summary on the right side of the page.
+The app uses the Vercel AI Gateway by default, which requires no additional configuration when deployed on Vercel.
 
-Each segment is intentionally short and concise, making it easy to build context quickly and compare multiple papers.
+## Tech Stack
 
+- Next.js 16
+- React 19
+- AI SDK 6
+- Tailwind CSS 4
+- PDF.js for PDF parsing