title	AI Helpdesk API
emoji	🤖
colorFrom	green
colorTo	blue
sdk	docker
app_port	7860
pinned	false

Neural System Orchestrator

        

Note

Eliminating the Manual Triage Bottleneck

Helpdesk.ai uses deep-learning neural networks and 4-layer enterprise architecture to categorize, prioritize, and resolve IT issues in milliseconds.

📖 Navigation Hub

🧩 Platform Vision	🏗️ Under the Hood	🚀 Next Steps
➧ Why Helpdesk.AI? ➧ The Enterprise Evolution	➧ System Architecture ➧ The AI Neural Pipeline	➧ Deployment / Setup ➧ Future Roadmap

Important

🎯 Why Helpdesk.AI?

Helpdesk.AI is more than just a ticketing tool; it is a Neural Service Orchestrator designed for modern enterprises. It provides massive ROI by:

1. Eliminating the Triage Bottleneck: By using context-aware AI (DistilBERT), it categorizes 100% of tickets in milliseconds, bypassing the L1 support line entirely.
2. Proactive Resolution: Integrated LLMs (GitHub Models/Gemini) analyze issues during creation to suggest "Instant Fixes," severely reducing actual ticket volume.
3. Tiered Multi-Tenancy: Built for true SaaS isolation, it securely isolates completely separate companies within a single Supabase database.

---

💎 The Enterprise Evolution

Helpdesk.ai isn't just a ticketing tool; it's heavily engineered. Built to handle the complex requirements of modern organizations, it scales support without scaling headcount.

🏛️ 4-Layer Permission Matrix

Layer	Audience	Primary Capabilities
👑 Master Admin	Global Overseers	Tenant Registration, Company Onboarding, Global Health Monitoring.
🏢 Company Admin	IT Management	Org-specific Dashboard, User Auditing, Sentiment Analytics.
👤 Standard User	Employees	AI-Powered Ticket Creation, Semantic Search, Real-time Status.
🌐 Public Layer	Prospects	Premium journey, Sales Engineering contact, Live Pricing tiers.

---

🏗️ System Architecture

Helpdesk.ai utilizes a clean, decoupled architecture built for production operations.

graph TD
    A["User (Frontend)"] -->|"Submits Issue"| B("FastAPI Backend")
    B -->|"Text Processing"| C{"AI Inference Engine"}
    C -->|"DistilBERT v3"| D["Categorization Routing"]
    C -->|"NER Engine"| E["Entity Extraction"]
    C -->|"GitHub Models Inference"| F["Generative Resolves"]
    D --> G[("Supabase DB")]
    E --> G
    F --> G
    G -->|"Real-time WebSocket"| A
    G -->|"Dashboard Aggregation"| H["Admin Portal"]

Loading

---

🧠 The AI Neural Pipeline

Under the hood, Helpdesk.ai leverages a custom suite of high speed models.

1. High-Precision Classification Driven by DistilBERT v3, our classifier understands technical context and user sentiment to assign accurate Impact Scores. 2. NER Metadata Harvesting Automatically extracts vital technical identifiers without making the user fill out long dropdown forms: Hostnames, Serial Numbers, IP Addresses.

3. Duplicate Prevention If two users report the same outage, our sentence-transformers semantically link them to prevent "Ticket Flooding". 4. Generative OCR Built-in screenshot analysis pulls error codes directly out of images. We process the images securely in milliseconds.

---

🚀 Deployment & Operations

Create a .env file in the /Frontend directory:

VITE_SUPABASE_URL=https://YOUR_PROJECT_REF.supabase.co
VITE_SUPABASE_ANON_KEY=your_key
VITE_STRIPE_GROWTH_LINK=your_stripe_link
VITE_BACKEND_URL=http://localhost:8000

Local Installation

git clone https://github.com/ritesh-1918/HELPDESK.AI.git
cd HELPDESK.AI/Frontend
npm install
npm run dev

---

🗺️ Roadmap

• Phase 1: Core Ticketing & DistilBERT Categorization.
• Phase 2: Multi-tenant SaaS Architecture (Supabase RLS).
• Phase 3: GitHub Models integration for generative knowledge-base articles.
• Phase 4: SAP / ServiceNow direct bidirectional sync.
• Phase 5: AI Voice Support Agent via Twilio.

---

Built with 💚 by the HELPDESK.AI Professional Team.