backend - coding4vinayak/leadworks-intelligence-platform- GitHub Wiki

Backend Architecture for LeadWorks Intelligence

The backend of LeadWorks Intelligence needs to handle:
βœ… Lead Ingestion – Accept leads via API, manual upload, or CRM sync.
βœ… Lead Scoring – Apply AI models to predict lead quality & conversion probability.
βœ… Lead Enrichment – Fetch missing data from external sources.
βœ… Workflow Automation – Trigger CRM actions & notifications.
βœ… User Authentication & Role Management – Secure access to data.


14.1 Tech Stack


Component | Technology Stack
- | -
Backend Framework | FastAPI (Python)
Database | PostgreSQL + Redis
AI Models | Scikit-learn, TensorFlow
Queue System | Celery + Redis
Authentication | OAuth2 (Google, LinkedIn)
Deployment | Docker + Kubernetes (optional)

14.5 Asynchronous Processing (Celery + Redis)

Why Use Celery?

πŸ“Œ Problem: AI lead scoring & enrichment tasks take time.
πŸ“Œ Solution: Offload processing to background workers.

βœ… Example Use Cases:

  • AI model scoring runs in the background.
  • Lead enrichment fetches data asynchronously.
  • CRM sync operations are processed in a queue.

πŸ”Ή Celery Task Example:

python
CopyEdit
<span><span class="hljs-keyword">from</span> celery <span class="hljs-keyword">import</span> Celery

app = Celery(β€˜tasks’, broker=β€˜redis://localhost:6379/0’)

@app.task
def score_lead(lead_id):
# AI model predicts lead score
score = model.predict(lead_data)
return score


14.6 Deployment Strategy

1️⃣ Development Setup (Local)

βœ” Use Docker for containerization.
βœ” Run PostgreSQL + Redis locally.
βœ” Start API with FastAPI & Uvicorn.

2️⃣ Production Deployment

βœ” Cloud Provider: AWS, Azure, or Google Cloud.
βœ” Container Orchestration: Kubernetes (K8s).
βœ” CI/CD Pipeline: GitHub Actions for automated deployments.
βœ” API Gateway: Nginx + Load Balancer for high availability.


15. Next Steps & Development Roadmap

πŸ“Œ Phase 1: MVP Build (1-2 Months)
βœ… Setup PostgreSQL + Redis.
βœ… Develop Lead Ingestion & Scoring APIs.
βœ… Build Basic React Dashboard.

πŸ“Œ Phase 2: AI Model Enhancement (2-3 Months)
βœ… Train lead scoring model with historical CRM data.
βœ… Improve accuracy for conversion predictions.

πŸ“Œ Phase 3: CRM Integrations & Automation (3-4 Months)
βœ… Integrate with HubSpot, Salesforce.
βœ… Implement workflow automation builder.

πŸ“Œ Phase 4: Scaling & Monetization (4-6 Months)
βœ… Deploy SaaS version with user billing.
βœ… Launch Enterprise & API Plans.

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