Add VisionCoders Submission

submissions/VisionCoders_Aitextdetector.md

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+<h1 align="center">
+  <a href="https://github.com/CommunityOfCoders/Inheritance2k25">
+    CoC Inheritance 2025
+  </a>
+  <br>
+  AI Text Detector : Detect • Analyze • Improve
+</h1>
+
+<div align="center">
+By <b>Vision Coders</b>
+</div>
+<hr>
+
+<details>
+<summary>Table of Contents</summary>
+
+- [Description](#description)
+- [Links](#links)
+- [Tech Stack](#tech-stack)
+- [Progress](#progress)
+- [Future Scope](#future-scope)
+- [Applications](#applications)
+- [Project Setup](#project-setup)
+- [Team Members](#team-members)
+- [Mentors](#mentors)
+
+</details>
+
+---
+
+## 📝 Description
+
+**AI Text Detector** is a full-stack web application that detects whether a given text is AI-generated or human-written. Along with detection, it also provides grammar checking, plagiarism checking, and detailed text analysis feedback.
+
+The project uses **Next.js** for the frontend and **FastAPI** for the backend, integrating a trained ML model to analyze textual patterns and classify content intelligently using a hybrid (ML + rule-based) approach.
+
+---
+
+## 🔗 Links
+
+- **GitHub Repository**  
+  https://github.com/Inheritance-2K25/ai-text-detector
+
+- **Demo Video**  
+  https://drive.google.com/file/d/1YpC4btnFt-OfIdVkLildigZQ-shzwmdx/view?usp=sharing
+
+- **Project Screenshots**  
+  https://drive.google.com/drive/folders/1umSj9-Wi9Mh0YJkFyJSmXZlfTyPyj1qU?usp=sharing
+
+- **Model Download**  
+  https://drive.google.com/drive/folders/1OIKNyhRfeotAHg17Y96lGIgxGiiccZ7c?usp=sharing
+
+- **Hosted Website**  
+  _To be added_
+
+---
+
+## 🤖 Tech Stack
+
+### 🏗️ System Architecture
+
+```mermaid
+graph LR
+    A[User] --> B[Next.js Frontend]
+    B --> C[FastAPI Backend]
+    C --> D[Hybrid Detection System]
+    D --> E[Prediction + Analysis Output]
+```
+
+---
+
+### 💻 Frontend
+
+- Next.js
+- React.js
+- Tailwind CSS
+- JavaScript
+
+**Features:**
+
+- Text input interface
+- AI detection result display
+- Grammar checker UI
+- Plagiarism checker UI
+- Extension integration support
+
+---
+
+### ⚙️ Backend
+
+- FastAPI
+- Python
+- Hybrid ML + Rule-Based Detection
+
+**Backend Structure:**
+
+- `app.py` – Main API entry point
+- `inference.py` – Model inference logic
+- `grammar.py` – Grammar analysis
+- `chunking.py` – Text chunking logic
+- `rules.py` – Rule-based detection
+- `schemas.py` – Request/Response validation
+- `style.py` – Style analysis module
+- `model/` – ML model storage
+- `hybrid/` – Hybrid detection system
+
+---
+
+### 🧠 Machine Learning Model
+
+- Trained AI vs Human classification model
+- Hybrid approach (ML + rule-based analysis)
+- Model downloadable separately (Drive link provided above)
+
+---
+
+## 📈 Progress
+
+### ✅ Fully Implemented Features
+
+- **AI Text Detection** – Classifies text as AI-generated or Human-written
+- **Grammar Checker** – Detects grammatical issues and suggests improvements
+- **Plagiarism Checker** – Checks similarity patterns
+- **Text Analysis Feedback** – Provides structured analysis of input text
+- **Browser Extension** – Chrome extension for quick detection
+
+---
+
+### 🚧 Work in Progress
+
+- Model fine-tuning for improved accuracy
+- Performance optimization for long text inputs
+- UI responsiveness improvements
+- Scalable deployment setup
+
+---
+
+## 🔮 Future Scope
+
+- User authentication & saved history
+- Advanced analytics dashboard
+- Cloud deployment with scalability
+- Multi-language detection support
+- Public API access for third-party integration
+
+---
+
+## 💸 Applications
+
+1. **Educational Institutions** – Detect AI-generated assignments and essays
+2. **Content Publishing Platforms** – Verify originality of articles
+3. **Recruitment Platforms** – Validate authenticity of written responses
+4. **Freelancing Platforms** – Ensure human-generated submissions
+
+---
+
+## 🛠 Project Setup
+
+### 1️⃣ Clone the Repository
+
+```bash
+git clone https://github.com/Inheritance-2K25/ai-text-detector.git
+cd ai-text-detector
+```
+
+---
+
+### 2️⃣ Frontend Setup (Next.js)
+
+Install dependencies:
+
+```bash
+npm install
+```
+
+Run frontend:
+
+```bash
+npm run dev
+```
+
+Frontend runs on:
+
+```
+http://localhost:3000
+```
+
+---
+
+### 3️⃣ Backend Setup (FastAPI)
+
+Go to backend directory:
+
+```bash
+cd backend
+pip install -r requirements.txt
+```
+
+Run the server:
+
+```bash
+uvicorn app:app --reload
+```
+
+Backend runs on:
+
+```
+http://127.0.0.1:8000
+```
+
+---
+
+### 4️⃣ Model Setup
+
+Download the model from the Drive link provided above and place it inside:
+
+```
+backend/model/
+```
+
+---
+
+## 👨‍💻 Team Members
+
+- **Vivek Kamant** – 241070033
+- **Yash Deshmukh** – 241070018
+- **Shreyansh Mojidra** – 241070045
+- **Paarth Maharshi** – 241070050
+
+**Team Name:** Vision Coders
+
+---
+
+## 👨‍🏫 Mentors
+
+- **Divya Addagatla** – https://github.com/adivya15
+- **Pragati Kharat** – https://github.com/pragatikharat17
+
+---