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+<h1 align="center">
+  <a href="https://github.com/CommunityOfCoders/Inheritance2k25">
+    CoC Inheritance 2025
+  </a>
+  <br>
+  TravelGenie : AI-Powered Smart Travel Planning System
+</h1>
+
+<div align="center">
+By Bitten By Python
+</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>
+
+<a name="description"></a>
+
+## 📝 Description
+
+TravelGenie is an AI-powered smart travel planning system that generates personalized, structured, and optimized travel itineraries using a locally deployed Large Language Model.
+
+It bridges the gap between generic travel suggestions and realistic, budget-aware planning by combining structured dataset filtering with contextual LLM generation. Built with React, FastAPI, and Mistral 7B Instruct running locally with GPU acceleration, TravelGenie delivers city-restricted and logically sequenced day-wise travel plans.
+
+---
+
+<a name="links"></a>
+
+## 🔗 Links
+
+- [GitHub Repository](https://github.com/Rehan1604/Travel_Genie-Inheritance-)
+- [Demo Video](https://drive.google.com/file/d/17rnifMKwYDJi85VA_xYY3rXyMjG5T3Hy/view?usp=drive_link)
+- [Project Screenshots/Drive](https://drive.google.com/drive/folders/1NHrsDFPxkjYD7yWH67OHcHFVX3k0ld5h?usp=drive_link)
+- Hosted Website: Not Deployed Yet
+
+---
+
+<a name="tech-stack"></a>
+
+## 🤖 Tech-Stack
+
+### 🏗️ System Architecture
+
+```mermaid
+flowchart TD
+U["User Preferences\nDestination | Days | Budget | Category"]
+FE["React Frontend (Vite)"]
+API["Axios API Communication"]
+BE["FastAPI Backend"]
+FILTER["CSV Dataset Filtering"]
+PROMPT["Structured Prompt Construction"]
+LLM["Mistral 7B Instruct\n4-bit Quantized"]
+GPU["RTX 4060 GPU - CUDA 12.7"]
+OUT["Day-wise Structured Itinerary Output"]
+
+U --> FE
+FE --> API
+API --> BE
+BE --> FILTER
+FILTER --> PROMPT
+PROMPT --> LLM
+
+LLM --- GPU
+LLM --> OUT
+OUT --> FE
+```
+
+---
+
+## Front-end
+
+The user interface is built for clarity and interactivity, ensuring seamless itinerary generation.
+
+**Framework:** React.js (Vite)  
+**Communication:** Axios  
+**Storage:** Browser localStorage  
+
+### Key Features
+
+- Dynamic chat-based input interface  
+- Real-time itinerary rendering  
+- Editable travel plans  
+- Persistent storage of generated itineraries  
+
+---
+
+## Back-end
+
+The backend handles dataset filtering, LLM orchestration, and structured output formatting.
+
+**Framework:** FastAPI  
+**Model Runtime:** HuggingFace Transformers + Accelerate  
+
+### Core Components
+
+- Dataset filtering engine (CSV-based)  
+- Prompt construction logic  
+- LLM inference pipeline  
+- Structured response formatter  
+
+---
+
+## Database & Machine Learning
+
+**Data Layer:** Structured CSV dataset (India, USA, Iran cities)  
+**Includes:** Climate data, pricing ranges, category metadata  
+
+### AI Infrastructure
+
+- Mistral 7B Instruct  
+- 4-bit quantization  
+- NVIDIA RTX 4060 GPU  
+- CUDA 12.7  
+
+---
+
+<a name="progress"></a>
+
+## 📈 Progress
+
+### Fully Implemented Features
+
+* Personalized Day-wise Itinerary Generation  
+* Budget-Aware Filtering  
+* City-Restricted Recommendations  
+* Climate Summary Integration  
+* Local GPU Inference  
+
+---
+
+### Partially Implemented Features / Work in Progress
+
+* Cloud Deployment  
+* External API Integrations  
+* Multi-city Route Optimization  
+
+---
+
+<a name="future-scope"></a>
+
+## 🔮 Future Scope
+
+- Real-time travel API integration  
+- Multi-city itinerary optimization  
+- User authentication and trip storage  
+- Scalable LLM deployment  
+- Advanced personalization mechanisms  
+
+---
+
+<a name="applications"></a>
+
+## 💸 Applications
+
+1. Personalized Travel Planning  
+2. AI Travel Assistant Systems  
+3. Academic AI Demonstration  
+
+---
+
+<a name="project-setup"></a>
+
+## 🛠 Project Setup
+
+### Clone Repository
+
+```bash
+git clone https://github.com/Rehan1604/Travel_Genie-Inheritance-.git
+cd Travel_Genie-Inheritance-
+```
+
+### Backend Setup
+
+```bash
+cd backend
+pip install -r requirements.txt
+uvicorn main:app --reload
+```
+
+### Frontend Setup
+
+```bash
+cd frontend
+npm install
+npm run dev
+```
+
+Frontend runs via `npm run dev`.  
+Backend runs via `uvicorn main:app --reload`.
+
+---
+
+<a name="team-members"></a>
+
+## 👨‍💻 Team Members
+
+* **Rehan Mehta** – https://github.com/Rehan1604  
+* **Devansh Mehta** – https://github.com/Devansh270  
+* **Bhavya Gothi** – https://github.com/Bhavya4523  
+* **Jehan Bheda** – https://github.com/jehanbheda  
+
+---
+
+<a name="mentors"></a>
+
+## 👨‍🏫 Mentors
+
+* **Harsh Ogale** – https://github.com/harshogale04  
+* **Piyush Patil** – https://github.com/MAVERICK-111
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