AI Chatbot Development Projects in PunjabAI Chatbot Development Projects in PunjabWhatsApp AI Chatbot & Order Automation System | n8n + Claude AI Agent
An n8n-based WhatsApp chatbot that handles customer conversations and order automation from start to finish, delivered as part of a completed 80-hour engagement rated 5.0 out of 5. Client feedback: "Very strategic and great to work with! Knows his stuff and communicates clearly."
The agent uses Claude to understand customer intent, hold context across a conversation, and take the correct action, capturing orders, answering frequently asked questions, and updating records, while every interaction is logged for review.
Built with the same reliability standard used across all of my automation work: input validation, structured AI output instead of raw free text, and error handling that catches failures instead of letting messages disappear silently.
Stack: n8n, Claude AI, WhatsApp, webhooks and API integration. Meet Octo 🐙 — AI Chatbot Mascot Design
the personality-packed AI chatbot mascot with three core behavior states. From chilling on standby to juggling tasks like a pro, and alerting users with charm — Octo turns every interaction into a delightful experience. Designed to solve the cold, robotic feel of traditional chatbot UI. 🐙✨
🐙 Stand By
When idle, Octo AI gently bobs in a looping animation, blinking softly and occasionally curling a tentacle. After a few seconds of inactivity, a small speech bubble appears with a friendly nudge like "I'm here whenever you're ready!" — waiting patiently until the user engages.
⚡ Multitasking
Octo springs to life with all tentacles in motion, juggling task bubbles with wide, focused eyes. This solves user anxiety during loading — instead of a cold spinner, Octo shows "I'm working hard on this for you."
⚠️ Warning
Octo shifts into alert mode — one tentacle raised, eyes sharp, with a warm orange glow. This solves robotic error messages by giving warnings a friendly face that says "Hey, something needs your attention!" AI Teaching Copilot — Learner-Aware Generative AI Tutor for RRampUp (Canada)
An AI tutor that detects whether a student is struggling or excelling — and rewrites its own teaching style in real time to match.
Most AI tutoring tools give every student the same explanation regardless of level — struggling learners get lost, advanced learners disengage, and instructors have no way to personalize at scale. I built a learner-aware generative AI copilot for RRampUp (Canada) that solves this by classifying each student's level in real time and switching teaching styles automatically.
The system tracks accuracy, response time, and topic mastery per learner to detect which mode fits: Supportive Mode kicks in on low accuracy or repeated errors, delivering step-by-step scaffolding with simpler vocabulary and a worked example first. Advanced Mode kicks in on high accuracy or fast correct answers, delivering concise direct responses with follow-up challenge questions that assume fundamentals are already mastered.
Every single answer is grounded in real course material through a RAG pipeline — content is chunked, embedded, and retrieved per question — so the copilot never hallucinates an explanation untethered from the actual curriculum. Consistency across both teaching tiers was achieved through iterative system-prompt and few-shot tuning, evaluated and refined rather than shipped once and left alone.
Results: 85% response accuracy, 95% positive learner feedback, 100% RAG-grounded answers (zero hallucination), and a single engine serving both remedial and advanced learners without separate systems.
Stack: RAG pipeline with vector store (ingestion & retrieval) · learner profiling engine (accuracy, response time, topic-mastery tracking) · system-prompt & few-shot engineering per learner tier · LLM-based grounded generation.
If you're building a tutoring product, internal training tool, or any Q&A assistant where users have different skill levels, this personalization layer adapts without needing separate systems per user tier. 𝐊𝐚𝐢𝐝𝐨 – 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐅𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰
Kaido is an AI-powered stylist SaaS platform designed to deliver a personalized, subscription-based fashion experience. The platform enables users to interact with an AI stylist, manage their wardrobe and preferences, receive product recommendations, and generate virtual try-on images using advanced AI models. It also provides embeddable chat solutions for eCommerce stores and a sourcing tool for product analysis and resale insights.
𝐊𝐞𝐲 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐬
AI Stylist Chat Experience: Users and guests can interact with an AI stylist for personalized fashion advice, recommendations, and styling guidance.
Virtual Try-On & Image Generation: AI-powered image generation for outfit previews and mockups using multiple AI providers.
User Preferences & Wardrobe Management: Store user style preferences, wardrobe items, and history for tailored recommendations.
Product Recommendation Engine: Intelligent suggestions based on user behavior, preferences, and AI analysis.
Embeddable Chat Widget (Plugin): Configurable website widget for store owners to handle customer queries, product inquiries, and order-related questions.
eCommerce Integration: JSON-based catalog support for product search, recommendations, and customer assistance.
Reseller Sourcing Tool: AI-powered analysis of uploaded product images using vision models and market comparison data.
Automated Content & Sync Jobs: Cron jobs for blog generation, catalog updates, and product synchronization.
𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 𝐎𝐯𝐞𝐫𝐯𝐢𝐞𝐰
𝐂𝐨𝐫𝐞 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦
𝑩𝒂𝒄𝒌𝒆𝒏𝒅 𝑨𝑷𝑰: Express.js handling AI workflows, user management, subscriptions, and integrations with AI services.
𝑨𝑰 𝑰𝒏𝒕𝒆𝒈𝒓𝒂𝒕𝒊𝒐𝒏𝒔: OpenAI for chat and vision processing, along with external APIs for image generation and virtual try-on.
𝑫𝒂𝒕𝒂𝒃𝒂𝒔𝒆 & 𝑺𝒕𝒐𝒓𝒂𝒈𝒆: MongoDB for storing user data, wardrobe items, chat history, product data, and sourcing insights.
𝐅𝐫𝐨𝐧𝐭𝐞𝐧𝐝
𝑾𝒆𝒃 𝑨𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏: React + Vite-based frontend providing a fast, responsive, and interactive user experience.
𝑼𝒔𝒆𝒓 𝑫𝒂𝒔𝒉𝒃𝒐𝒂𝒓𝒅:Interface for managing preferences, wardrobe, AI chats, and generated styling results.
𝐌𝐞𝐝𝐢𝐚 & 𝐀𝐈 𝐇𝐚𝐧𝐝𝐥𝐢𝐧𝐠
𝑰𝒎𝒂𝒈𝒆 𝑷𝒓𝒐𝒄𝒆𝒔𝒔𝒊𝒏𝒈 𝑷𝒊𝒑𝒆𝒍𝒊𝒏𝒆: Integration with AI services for generating try-on visuals and mockups.
𝑭𝒊𝒍𝒆 𝑺𝒕𝒐𝒓𝒂𝒈𝒆 & 𝑺𝒆𝒓𝒗𝒊𝒏𝒈:Public access system for uploaded images and generated media assets.
𝑬𝒎𝒃𝒆𝒅𝒅𝒂𝒃𝒍𝒆 𝑷𝒍𝒖𝒈𝒊𝒏 𝑺𝒚𝒔𝒕𝒆𝒎:Lightweight chat widget for third-party websites with configurable branding, prompts, and API keys.
𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 & 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞
𝐀𝐮𝐭𝐡𝐞𝐧𝐭𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐒𝐲𝐬𝐭𝐞𝐦: JWT-based authentication for secure user sessions and access control.
𝐀𝐏𝐈 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐂𝐨𝐧𝐭𝐫𝐨𝐥𝐬: Protection against vulnerabilities including SSRF risks and secure handling of external requests.
𝐒𝐜𝐚𝐥𝐚𝐛𝐥𝐞 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭𝐮𝐫𝐞: Designed to support multiple users, AI requests, and real-time interactions efficiently.
𝐃𝐚𝐭𝐚 𝐏𝐫𝐨𝐭𝐞𝐜𝐭𝐢𝐨𝐧: Secure handling of user data, API keys, and uploaded media.
𝐒𝐮𝐦𝐦𝐚𝐫𝐲
Kadio modernizes the fashion and eCommerce experience by combining AI-powered styling, virtual try-on technology, and intelligent product recommendations into a unified SaaS platform. With additional capabilities like embeddable store chat, reseller sourcing insights, and automated content generation, it empowers both users and businesses to enhance engagement, streamline operations, and scale personalized fashion experiences efficiently. 
