🚀 NextLevel: The AI-First Knowledge Operating System

NextLevel is a high-performance, professional-grade platform designed to consolidate your digital life into a single, intelligent vault. It leverages state-of-the-art AI orchestration and durable background processing to turn raw information into actionable knowledge.

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🏗 System Architecture

graph TD
    User((User)) -->|Interacts| Frontend[Next.js 15 UI / App Router]
    Frontend -->|Triggers| API[Next.js API Routes]
    
    subgraph "AI Core Orchestration"
        API -->|Dispatches Events| Inngest[Inngest Background Engine]
        Inngest -->|Scrapes| Jina[Jina AI Reader]
        Inngest -->|Analyzes| Gemini[Google Gemini 2.0 Flash]
        Inngest -->|Vectorizes| Embeddings[Gemini embedding-001]
    end

    subgraph "Data Persistence"
        API -->|CRUD| Mongo[(MongoDB Atlas)]
        Embeddings -->|Storage| VectorIdx[Atlas Vector Search Index]
    end

    API -->|Semantic Query| VectorIdx
    VectorIdx -->|Ranked Results| User

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🔥 Key Features

1. 🧠 Semantic "Brain" Search

• Beyond Keywords: Uses vector cosine similarity to find notes based on meaning. Search for "Spring Boot help" and find notes about "Java backend tutorials" automatically.
• Powered By: MongoDB Atlas Vector Search + Gemini 768-dim embeddings.

2. ⚡ Durable AI Workflows (Inngest)

• Reliable Scrapping: Every link you save is instantly scraped via Jina AI and summarized by Gemini.
• Fault Tolerance: If an AI call fails, Inngest automatically retries with exponential backoff.
• No-Code Replacement: Successfully replaced heavy n8n dependencies with native, high-performance Javascript functions.

3. 📝 Smart Captures & Vault

• Auto-Categorization: AI detects if a note is an Exam, Project, or Deadline.
• Urgency Detection: Automatically flags notes as Critical or High based on the content.
• PWA Support: Fully installable as a mobile app for on-the-go capturing.

4. 🗺 AI Roadmap Generator

• Pathfinding: Generate structured learning roadmaps for any topic (e.g., "Learn Kubernetes in 4 weeks").
• Milestone Tracking: Tracks your progress through AI-generated steps.

5. 📅 Dynamic Planner & Reminders

• Calendar Integration: View your AI-detected deadlines in a unified planner.
• Smart Reminders: System-suggested reminder times based on task urgency.

6. 🎓 Exam & Test Engine

• Mock Tests: Take practice exams and track results.
• Performance Analytics: Deep dives into your test scores over time.

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🛠 Tech Stack

Layer	Technology
Framework	Next.js 15 (App Router / Turbopack)
Styling	Tailwind CSS 4 + Framer Motion
Database	MongoDB Atlas (Vector Search Enabled)
AI (LLM)	Google Gemini 2.0 Flash
AI (Embeddings)	Google text-embedding-004
Orchestration	Inngest (Event-Driven Architecture)
Authentication	NextAuth.js

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🚀 Getting Started

1. Prerequisites

• Node.js 18+ & MongoDB Atlas account.
• Google AI Studio API Key.

2. Installation

git clone https://github.com/Animesh-86/NextLevel.git
npm install

3. Environment Config (.env.local)

MONGODB_URI=...
GEMINI_API_KEY=...
AUTH_SECRET=...
NEXTAUTH_URL=http://localhost:3000

4. Vector Search Index Setup

In your MongoDB Atlas dashboard, create a Vector Search Index on the captures collection:

{
  "fields": [
    {
      "numDimensions": 768,
      "path": "embedding",
      "similarity": "cosine",
      "type": "vector"
    }
  ]
}

5. Development

Start the app:

npm run dev

Start the background worker:

npx inngest-cli@latest dev -u http://localhost:3000/api/inngest

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🤝 Roadmap & Future

• Multi-file PDF Analysis (RAG).
• Collaborative Vaults for Teams.
• Integration with Google Calendar/Outlook.

Built with ❤️ by Animesh