https://github.com/mayankmittal29/ask-rezzy

🤖 Rezzy – A Full-Stack, LLM-Integrated AI Study Assistant for Medical Students Featuring Flashcard & Question Retrieval via Semantic Vector Search, Embedding-Based Similarity, Retrieval-Augmented Generation (RAG), and Real-Time Response Streaming with WebSockets & Server-Sent Events 🧠📚⚡
https://github.com/mayankmittal29/ask-rezzy

expo-router express-js llm-chatbot openai pinecone-db rag-pipeline react-native socket-io typescript

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🤖 Rezzy – A Full-Stack, LLM-Integrated AI Study Assistant for Medical Students Featuring Flashcard & Question Retrieval via Semantic Vector Search, Embedding-Based Similarity, Retrieval-Augmented Generation (RAG), and Real-Time Response Streaming with WebSockets & Server-Sent Events 🧠📚⚡

• Host: GitHub
• URL: https://github.com/mayankmittal29/ask-rezzy
• Owner: mayankmittal29
• Created: 2025-07-12T15:29:38.000Z (11 months ago)
• Default Branch: main
• Last Pushed: 2025-07-12T16:16:48.000Z (11 months ago)
• Last Synced: 2025-07-12T17:49:25.441Z (11 months ago)
• Topics: expo-router, express-js, llm-chatbot, openai, pinecone-db, rag-pipeline, react-native, socket-io, typescript
• Language: Jupyter Notebook
• Homepage:
• Size: 134 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 🤖📚 Ask Rezzy — Your AI-Powered Study Sidekick 🚀

Welcome to **Ask Rezzy**, the ✨ intelligent GenAI assistant built to make your med-school grind easier, faster, and a lot more fun 🧠💬.

> Think of Rezzy as your **resident genius friend** who’s always ready to:

> - Pull out flashcards from memory 🔁

> - Recall tricky past-year questions 🧾

> - Chat with you in real-time 🧑‍⚕️

> - Answer doubts like a walking textbook 📖💡

---

## 🧭 Why Ask Rezzy?

When you're buried in anatomy books 📚, flipping between chapters, and stressing over “what to revise,” **Rezzy** becomes your:

- 🔍 **Search wizard** for semantically similar questions

- 🧠 **LLM assistant** trained to fetch, retrieve, and reason

- 💬 **Live chatbot** that streams answers word-by-word

- 🪄 **Flashcard flipper** with perfect timing

> “Give me 5 questions on the skeletal system” → Rezzy dives into its brain 🧠 and streams back smartly chosen questions 🧾⚡

---

## 🌈 Demo & Design

🔗 [**Live Demo** on Loom](https://loom.com)  

🎨 [**Figma UI Design**](https://www.figma.com/design/Wk4ao9A1X6HMnivSQwJNVz/Oncourse-Assignments?node-id=3001-917&t=OzeIDYcd8be9TO2e-1)  

📁 [**Drive Link with Dataset**](https://drive.google.com/drive/folders/1Gw8NTQPHoVOy8oEnctd1vpszDDxPQKZ8?usp=drive_link)

---

## 💡 Core Features

| 💼 Feature                | 💬 Description |

|--------------------------|----------------|

| 🔍 **Semantic Vector Search** | Fetches smart matches based on *meaning*, not just keywords |

| 🧠 **RAG (Retrieval + Generation)** | Finds useful content and builds contextual responses |

| 💬 **LLM Chat Interface** | Streams responses token-by-token like magic 🪄 |

| 🧾 **Flashcards & PYQs** | Answerable flashcards and previous-year questions |

| 🧑‍⚕️ **Study Mode UX** | Typing indicators, smooth animations, real-time feel |

---

## 🧱 Tech Stack — Built Different 🔧

| ⚙️ Layer     | 🛠️ Tech Used |

|-------------|--------------|

| 📱 Mobile    | React Native + Expo (SDK 50+) |

| ✨ Language   | TypeScript (strict mode 🧠) |

| 🧭 Navigation | `expo-router` |

| 🚀 Backend   | Express.js (REST + SSE + WebSockets) |

| 🔍 Vector DB | Pinecone / Weaviate / Chroma (you choose!) |

| 🧠 LLM       | OpenAI (Embeddings + Function Calling) |

| ⚡ Real-time | WebSockets (Socket.io) + SSE |

| 🔄 State     | React Query (TanStack) |

| 🧪 Testing   | Jest (for core pipeline) |

---

## 🧬 Dataset Format

```ts

interface Question {

  id: string;

  topic: string;

  subtopic: string;

  question: string;

  type: "multiple_choice" | "true_false" | "short_answer";

  options?: string[];

  correct_answer: string;

  difficulty: "easy" | "medium" | "hard";

  tags: string[];

}

interface Flashcard {

  id: string;

  topic: string;

  subtopic: string;

  front: string;

  back: string;

  difficulty: "easy" | "medium" | "hard";

  tags: string[];

}