Описание
🚀 Nexus AI — Neural Hub for Professional Workflows
Nexus AI is not just a chatbot—it is a powerful Neural Hub designed to bridge the gap between raw AI capabilities and real-world professional workflows. Built with a modern stack using FastAPI and Next.js, it solves the major limitation of traditional AI systems: lack of real-time context.
By integrating live web search and hyper-local weather data directly into the reasoning pipeline, Nexus AI transforms static AI responses into dynamic, context-aware intelligence.
🧠 Core Architecture
At the heart of Nexus AI lies the Specialized Task Engine. Instead of a generic assistant, users interact with purpose-built Neural Modes, each optimized for specific tasks:
CodeEngine → Software development & architecture
DocuMaster → Documentation & content generation
LogicCore → Advanced reasoning & math analysis
Universal Assistant → General-purpose AI
Each mode operates using a custom System Protocol, ensuring highly accurate and task-specific outputs.
💳 SaaS Monetization Ready
Nexus AI is built for scalability and business:
4-tier subscription system: Free, Silver, Gold, Platinum
Dynamic token limits & model access
Resource control based on user level
Perfect foundation for launching a commercial AI platform.
🔥 Key Features
🧠 Specialized AI Personas for different tasks
🔍 Live Context Injection (DuckDuckGo + Open-Meteo)
🖼️ Multi-Modal AI (image analysis + generation)
🛡️ Admin Dashboard (users, logs, bans, email broadcast)
🎨 Cyberpunk UI (glassmorphism, animations, modern UX)
🔐 Secure Auth with Google OAuth 2.0
⚙️ How It Works
User logs in via Google OAuth
System checks subscription tier
User selects a Neural Mode
Backend injects live context (web + weather)
Request is processed by LLMs (Llama 3 / Gemini)
Response is streamed in real-time with rich formatting
🛠️ Setup
Backend
pip install -r requirements.txt
python main.py
Configure .env:
GROQ_API_KEY
GEMINI_API_KEY
GOOGLE_CLIENT_ID
Frontend
cd frontend
npm install
npm run dev
Configure .env.local with Google Client ID.
🎯 Target Users
SaaS founders building AI products
Developers needing advanced coding assistants
Students & researchers solving complex problems
💡 Use Cases
Internal corporate AI assistant
Educational AI tutor
Technical content generation platform
🧩 Tech Stack
Backend: Python, FastAPI
Frontend: Next.js, Tailwind, Framer Motion
AI: Groq (Llama 3), Gemini 1.5
APIs: Open-Meteo, DuckDuckGo, Google OAuth
Storage: JSON (upgradeable to PostgreSQL/MongoDB)
Характеристики
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