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BotForge – Custom AI Chatbot Builder for Businesses

Project Overview
  • Project Title: BotForge – Custom AI Chatbot Builder for Businesses
  • Domain: Ecommerce
  • Technology Stack: Node.js , Express.js , React , MongoDB
  • Duration: 3 Weeks
Project Description

BotForge is a multi-channel, AI-powered chatbot creation platform that enables businesses to design, train, deploy, and manage intelligent virtual assistants without writing code. It features a visual flow builder, NLP integration, and seamless deployment across platforms like websites, WhatsApp, Messenger, and Slack. The platform also supports human handover, analytics, and dynamic responses to streamline customer interactions.

Key Objective
  • Empower non-technical users to build conversational AI bots with ease.
  • Offer multi-channel bot deployment from a single dashboard.
  • Use NLP to provide natural and intelligent conversations.
  • Support real-time analytics and improve bot performance through training.
  • Provide seamless transition to human agents when needed.
Core Feature
  • Multi-Role Access: Admin, Bot Creator, Client, Support Agent.
  • Drag-and-Drop Flow Builder with Conditional Logic.
  • Integration with OpenAI GPT / Dialogflow for NLP/NLU.
  • Channel Integrations: Website Widget, Facebook Messenger, WhatsApp (Twilio API), Slack / Telegram.
  • Intent & Entity Recognition (Train your own or connect existing).
  • Prebuilt Templates for Common Use Cases (e.g., Ecommerce, Support, Bookings).
  • Bot Cloning, Export/Import JSON.
  • Conversation Logs and Live Chat View.
  • Human Handoff with Notification to Support Agents.
  • AI-Generated Suggestions to Improve Flow.
  • User Analytics: Session count, bounce rate, conversion, CSAT.
  • Bot Performance Reports & Training Suggestions.
  • Web-hooks and Backend API Integration Support.
  • GDPR Compliant Chat History Handling.
  • Role-Based Access Control and Activity Logs.

Tools & Technologies Used

Category Tools / Technologies
Language JavaScript
Backend Framework Node.js and Express.js
Frontend React.js (with Redux or Zustand)
Database MongoDB (Primary DB), Redis (for caching, session).
NLP Integration OpenAI GPT API / Dialogflow / Rasa (pluggable)
Authentication & Security JWT, OAuth2 (Google login), bcrypt.js
Drag-and-Drop Builder React Flow / JointJS
Chat UI Widget Custom embeddable React widget
Real-Time Communication Socket.io (for live chat and agent handover)
Media Storage AWS S3 / Cloudinary
Notifications Twilio (SMS), Nodemailer (Email)
Analytics & Reporting Recharts, Chart.js
API Documentation Swagger / Postman
Testing Jest, Cypress, Postman
DevOps & Deployment Docker, GitHub Actions, AWS EC2, MongoDB Atlas

Prerequisites

💻 System Requirements
  • Operating System: Windows / macOS / Linux
  • Minimum 8 GB RAM (Recommended: 16 GB for development and testing)
  • Node.js (v16 or later) with npm or yarn installed
  • MongoDB server or MongoDB Atlas account
  • Redis server for caching and session storage
  • Docker for containerized deployment
📦 Software Dependencies
  • Node.js + Express.js for backend services
  • React.js for building frontend dashboard
  • React Flow or JointJS for visual chatbot builder
  • Redux or Zustand for global state management
  • Socket.io for real-time live chat communication
  • MongoDB & Redis for data persistence and performance
  • OpenAI API, Dialogflow, or Rasa for NLP/NLU integration
  • Cloudinary / AWS S3 for storing media files
  • Chart.js / Recharts for bot analytics and reports
  • Twilio (SMS), Nodemailer (email) for notifications
  • Swagger or Postman for API documentation and testing
🧰 Tools & Services
  • IDE: Visual Studio Code
  • API Testing: Postman or Swagger UI
  • Version Control: Git + GitHub
  • Testing Tools: Jest, Cypress
  • CI/CD: GitHub Actions or Jenkins
  • Cloud Hosting: AWS EC2, MongoDB Atlas for deployment
🌐 Technical Knowledge
  • Understanding of NLP/NLU concepts and chatbot design patterns
  • Building role-based dashboards and real-time chat interfaces
  • Implementing secure authentication with JWT and OAuth2
  • Designing conditional flow structures using visual editors
  • Integrating third-party APIs for multichannel communication
  • Analyzing and visualizing user interaction data
  • Deploying scalable applications with Docker and AWS
  • TechnologyJava
  • TypeWeb Application
  • Duration3 weeks
  • ModeOnline/Offline
  • CertificateYes
  • Project ReviewIncluded
  • Doubt SupportLive & Chat Support
  • Career SupportResume & Interview Tips
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