Updated frontend README with detailed setup and project info

frontend/README.md

@@ -1,36 +1,97 @@
-This is a [Next.js](https://nextjs.org) project bootstrapped with [`create-next-app`](https://nextjs.org/docs/app/api-reference/cli/create-next-app).
+# 🎭 Sentiment Analysis Tool — Frontend
 
-## Getting Started
+This is the **frontend** part of the **Sentiment Analysis Tool** project.  
+It provides an interactive web interface where users can input text and get real-time **sentiment predictions** (Positive, Negative, or Neutral) powered by the backend model API.
 
-First, run the development server:
+---
+
+## 🚀 About the Project
+
+The Sentiment Analysis Tool helps analyze emotions in text using machine learning.  
+This frontend connects with the **FastAPI backend** (found in the `model-lab` folder) to display predictions in a clean, user-friendly interface.
+
+---
+
+## ⚙️ Tech Stack
+- **Next.js** — React-based frontend framework  
+- **TypeScript** — for type-safe coding  
+- **Tailwind CSS** *(if used)* — for responsive styling  
+- **FastAPI (Backend)** — handles the ML model and API  
+
+---
+
+## 🧩 Project Structure
+frontend/
+├── app/
+├── components/
+├── public/
+├── styles/
+├── package.json
+└── README.md
+
+---
+
+## 🧠 Features
+- Simple input box for text or data entry  
+- Connects to backend to get emotion predictions  
+- Displays results in real time  
+- Built with Next.js for high performance and scalability  
+
+---
+
+## 🪄 Connecting to the Backend
+Before running the frontend, ensure that the backend (from the `model-lab` folder) is up and running:
 
 ```bash
+uvicorn app.main:app --reload
+Once running, update the API endpoint in your frontend configuration if required.
+
+🧰 Getting Started
+This project was bootstrapped with create-next-app
+
+1️⃣ Install Dependencies
+Inside the frontend directory:
+npm install
+
+2️⃣ Run the Development Server
 npm run dev
 # or
 yarn dev
 # or
 pnpm dev
 # or
 bun dev
-```
+Open http://localhost:3000
+ in your browser to see the result.
 
-Open [http://localhost:3000](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.
 
-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
+ to automatically optimize and load Geist
+, a new font family from Vercel.
 
-This project uses [`next/font`](https://nextjs.org/docs/app/building-your-application/optimizing/fonts) to automatically optimize and load [Geist](https://vercel.com/font), a new font family for Vercel.
+📚 Learn More
+To learn more about Next.js, check these resources:
 
-## Learn More
+Next.js Documentation
+ — learn about Next.js features and API.
 
-To learn more about Next.js, take a look at the following resources:
+Learn Next.js
+ — an interactive Next.js tutorial.
 
-- [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
+ — your feedback and contributions are welcome!
 
-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
+ from the creators of Next.js.
 
-## Deploy on Vercel
+Check out Next.js deployment documentation
+ for more details.
 
-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.
+ 🤝 Contributing
+If you’d like to contribute, feel free to open issues or pull requests to enhance the UI or documentation.
 
-Check out our [Next.js deployment documentation](https://nextjs.org/docs/app/building-your-application/deploying) for more details.
+👩‍💻 Author
+Developed by @diptipradeep
+ as part of the Sentiment Analysis Tool open-source project.