Here’s the cleaned, copy-paste-ready README.md with the Database, Project Structure, and Development Tips sections removed.

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🧠 i-Smart ScholAR

An AI-powered web application for smarter academic research and literature review

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📘 Overview

i-Smart ScholAR is an intelligent academic assistant that helps researchers and students discover, analyze, and summarize research papers using AI. It integrates Gemini, Chrome Built-in AI APIs, and LangChain to automate research workflows — from keyword generation to literature review synthesis — all within an interactive web app.

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⚡ Key Features

• ✅ AI-based keyword generation from prompts or PDFs
• ✅ Smart paper discovery & ranking by relevance
• ✅ Instant summaries and translations using Chrome Built-in AI
• ✅ Automated literature review with Gemini
• ✅ Report export in Markdown or PDF
• ✅ Runs directly in Chrome with built-in AI support

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🧠 Core Technologies

Layer	Tools / Frameworks
💻 Frontend	React.js, Vite, TailwindCSS
⚙️ Backend	FastAPI, LangChain
🧩 AI Models / APIs	Gemini API, Chrome Built-in AI APIs
🗄️ Database	MySQL
🌐 External API	OpenAlex (for research papers)

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🏗️ System Architecture

Flow:

1. React frontend interacts with FastAPI backend via REST.

2. Backend integrates:

   • 🧠 Gemini API → Summarization, literature synthesis
   • ⚙️ Chrome Built-in AI APIs → Keyword generation, translation
   • 🔗 LangChain → Chaining and context handling
   • 🗄️ MySQL → Project data and metadata storage

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🧩 Core Modules

1️⃣ Project Creation

Manage your research projects — create, edit, and switch between topics easily.

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2️⃣ Keyword Generator

Generate keywords from prompts or PDFs using Chrome Built-in AI + Gemini for better search precision.

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3️⃣ Paper List

Fetch and rank research papers by AI relevance. Quickly view abstracts, summaries, and key findings.

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4️⃣ Literature Upload

Upload PDFs and let AI extract key points like contribution, methods, and results using Gemini.

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5️⃣ Literature Review

Auto-generate a structured literature review divided into sections like:

• Introduction
• Related Work
• Key Themes
• Research Gaps
• Future Work

All synthesized intelligently via Gemini.

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6️⃣ Translation

Translate abstracts, summaries, or reviews using Chrome Built-in Translation API — offline and instant.

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⚙️ Setup Guide

🧩 Prerequisites

• 🐍 Python 3.9+
• 🧱 Node.js 18+
• 🐬 MySQL installed and running

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🧠 Chrome AI Configuration

To use Chrome’s on-device AI features:

1. Open Chrome Canary (or the latest Chrome).

2. Visit: chrome://flags

3. Enable these flags:

   #prompt-api-for-gemini-nano
   #optimization-guide-on-device-model
   

4. Restart Chrome 🔁

These enable local/on-device prompt APIs and models for instant keywording and translation.

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🔐 Environment Variables

Create a .env in both backend and frontend as needed.

Backend .env (example):

# Gemini / Google AI Studio
GEMINI_API_KEY=your_gemini_api_key

Frontend .env (example):

VITE_BACKEND_URL=http://localhost:8000

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🚀 Running Locally

1) Backend (FastAPI)

cd backend
pip install -r requirements.txt
uvicorn main:app --reload

• FastAPI will start at: http://localhost:8000
• Docs: http://localhost:8000/docs

2) Frontend (React + Vite)

cd frontend
npm install
npm run dev

• Vite dev server runs at (default): http://localhost:5173

Quick start summary:

• Start the backend: uvicorn main:app --reload
• Start the frontend: npm run dev

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🙌 Acknowledgements

• Gemini for summarization & synthesis
• Chrome Built-in AI for local keywording & translation

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