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Serverless chatbot on AWS/Azure

Why Choose This Project?

Chatbots are now essential for customer support, education, and automation. Using serverless architecture, you can build a scalable, cost-efficient chatbot without managing servers. This project leverages cloud-native AI/NLP services from AWS or Azure, making it an excellent hands-on experience in serverless computing, AI, and cloud integration.

What You Get

  • A fully functional chatbot (text or voice-enabled).

  • Deployed on AWS Lambda or Azure Functions (serverless).

  • Scalable, pay-per-use architecture with no server maintenance.

  • Can integrate into websites, mobile apps, or messaging platforms (Slack, Teams, WhatsApp).

Key Features

Feature Description
Natural Language Processing (NLP) Uses AWS Lex or Azure Cognitive Services to understand user queries.
Serverless Backend Chat logic hosted on AWS Lambda / Azure Functions, scaling automatically.
Multi-Channel Support Can be connected to web apps, mobile, or messaging apps (Slack, Teams, WhatsApp).
Knowledge Base Integration Integrates with FAQs, documents, or APIs to provide contextual answers.
Sentiment Analysis Uses AI (AWS Comprehend / Azure Text Analytics) to detect user sentiment.
Analytics & Logging Stores conversation logs in DynamoDB (AWS) or Cosmos DB (Azure) for insights.
Authentication & Security Supports role-based access, JWT/OAuth for user identity.

Technology Stack

Frontend (Optional):

  • Web interface with React.js / Angular / Vue.js

  • Bootstrap / TailwindCSS for chatbot UI

Backend (Serverless):

  • AWS Lambda or Azure Functions for chatbot logic

  • API Gateway (AWS) / Azure API Management to expose endpoints

Cloud AI/NLP Services:

  • AWS Lex → Conversational AI (text + voice)

  • Azure Cognitive Services (LUIS + Bot Service) → NLP + chatbot orchestration

Data & Storage:

  • AWS DynamoDB / Azure Cosmos DB for chat logs & user data

  • AWS S3 / Azure Blob Storage for storing training datasets

Authentication & Security:

  • AWS Cognito / Azure Active Directory (AD B2C)

  • IAM Roles & Policies for access control

Notifications (Optional):

  • AWS SNS / Azure Event Grid for alerts or integrations

Working Flow

  1. User Interaction → User types or speaks into chatbot (web, mobile, Teams, or Slack).

  2. NLP Processing → Query sent to AWS Lex / Azure LUIS to extract intent & entities.

  3. Serverless Function Call → AWS Lambda / Azure Function executes logic (e.g., fetch info, call API, store chat).

  4. Database & API Integration → Bot queries DynamoDB/Cosmos DB or calls external APIs.

  5. Response Generation → NLP service formulates a natural response.

  6. Reply to User → Response displayed in chat UI or voice reply given.

  7. Logging & Analytics → Conversation stored in DB, dashboards for performance insights.

Main Modules

  1. User Interface (Chat Widget or Messaging App Integration)

  2. NLP Engine (AWS Lex or Azure LUIS)

  3. Serverless Logic (Lambda/Functions)

  4. Database (DynamoDB/Cosmos DB)

  5. Analytics Dashboard (CloudWatch / Azure Monitor + Power BI)

  6. Authentication (Cognito/AD B2C)

Security Features

  • Encrypted chat data in DynamoDB/Cosmos DB

  • Role-based access with IAM Policies / Azure RBAC

  • OAuth2.0 / JWT authentication for protected interactions

  • DDOS protection via API Gateway / Azure API Management

Visualization & Monitoring

  • CloudWatch (AWS) / Azure Monitor → Monitor chatbot usage & errors

  • Power BI / QuickSight dashboards → Analyze chatbot performance (user queries, accuracy, sentiment trends)

This Course Fee:

₹ 3199 /-

Project includes:
  • Customization Icon Customization Fully
  • Security Icon Security High
  • Speed Icon Performance Fast
  • Updates Icon Future Updates Free
  • Users Icon Total Buyers 500+
  • Support Icon Support Lifetime
Secure Payment:
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