Quiksbot AI Chatbot
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Quiksbot AI Chatbot

AI chatbot agent for client communication, reservations, issue resolution, and sales, tailored to business needs.

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About This Project

Quiksbot is an AI-powered chatbot platform built to enhance client interactions across various business sectors. It enables seamless, intelligent communication with capabilities such as automated reservations, customer issue resolution, and sales assistance. Designed for versatility and customization, Quiksbot is well-suited for industries including e-commerce, customer support, and service-based businesses. 🔑 Key Features: Real-Time Client Engagement: Enables instant, intelligent conversations using advanced language models. Customizable AI Workflows: Built with LangChain to tailor responses and behavior based on business needs. Third-Party Integrations: Seamlessly connects with platforms like WhatsApp Business using Meta (Facebook) APIs. Secure Payment Processing: Integrated with Stripe for handling transactions safely. Intelligent Conversation Handling: Powered by cutting-edge language models like OpenAI, DeepSeek, Grok, and Claude AI, along with Pinecone for vector-based retrieval. Responsive UI: Built with Next.js and styled using TailwindCSS, ensuring cross-device compatibility. Embedded Support: Utilizes iframes for smooth integration within existing websites or platforms. ⚙️ Architecture & Infrastructure: Real-Time Communication: Enabled through Socket.IO for instant message exchange and status tracking. Scalability & Performance: Dockerized Microservices: All services are containerized using Docker for isolated environments and easy deployment. Deployed on Google Kubernetes Engine (GKE): Ensures high availability, scalability, and efficient resource management. CDN via Cloudflare: Leveraged for global asset distribution, reducing latency and improving load times. Scheduled Workflows: Automated background tasks and cron jobs are managed using Jenkins, enhancing operational efficiency. SEO & Performance Optimization: Focused on fast load times, structured metadata, and crawlability to improve discoverability.

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MONOLITHIC

Created

July 18, 2025

Last Updated

April 11, 2026

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