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Your restaurant is losing reservations at 2 AM.
A customer messages on WhatsApp asking about your Friday dinner menu. Nobody replies. By morning, they've booked somewhere else.
This happens every single night.
I build AI chatbots that sit on your WhatsApp and website, answering customer questions, confirming reservations, and handling menu inquiries instantly. In Arabic and English. At 2 AM, 5 AM, during rush hour. Never misses a message.
No app to download. No staff to train. No monthly fees.
One-time setup: $150. Working demo before you pay anything.
If you run a restaurant or hotel in Kuwait, UAE, or Europe and you're tired of losing customers to silence, send me a message. I'll show you exactly how it works with your own menu.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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🧠💬 Echo Mind — AI Chatbot App UI
• A next-gen conversational UI designed for deeply human-like AI interactions
• Smart memory system that learns, adapts, and responds with context awareness
• Minimal, fluid interface built for speed, clarity, and seamless chat flow
• More than a chatbot — a digital mind that evolves with every conversation
#AI #Chatbot #UXDesign
A Telegram bot built as a parallel layer to a productivity system, designed to intercept moments of negative impulse and convert them into structured reflection conversations.
How it works:
Every user message triggers an AI intervention conversation grounded in the user's Chief Definite AIM, recent insights, current goal pacing, and reflection history
Voice messages auto-transcribed via OpenAI Whisper, treated as text turns in the conversation
/done command ends the session, prompts trigger word + outcome (avoided / indulged / unclear), persists everything to SQLite for downstream daily summary integration
/restart wipes session state for fresh context
System prompt is brother-tone, AIM-grounded, 80–200 words per response, deliberately not therapy-speak
Runs in the same Node process as a separate productivity bot — two bots, two tokens, one codebase.
Tech: Node.js, Telegram Bot API, Claude API, OpenAI Whisper, SQLite.
The idea of intercepting negative impulse moments in real time is genuinely clever. most productivity tools wait for you to come to them — this flips it. voice transcription via Whisper is a smart touch too, removes friction completely. how's the response latency holding up in practice?
Building an AI-Powered 3D Interview Avatar: A Smarter Way to Practice Job Interviews
I recently built an AI-driven mock interview platform designed to help candidates prepare for real-world recruiter conversations through interactive, personalized interview simulations.
The core idea was simple: instead of practicing with static question lists, users upload their CV/resume and engage in a live conversation with an intelligent 3D avatar that acts like a recruiter.
What makes this system powerful is its ability to understand the candidate’s professional background and generate context-aware interview questions based on their actual experience, skills, projects, and career history—similar to how recruiters conduct interviews in real meetings.
How it works:
• Users upload their CV/resume
• The system processes and extracts key professional information
• A Retrieval-Augmented Generation (RAG) pipeline organizes the data into vector embeddings
• The AI agent builds personalized interview flows based on resume context
• A real-time 3D avatar conducts the interview through voice interaction
• The avatar responds dynamically with lip-sync, facial expressions, and body animations for realistic conversation flow
This project combines conversational AI with immersive 3D interaction to create a much more natural and engaging interview preparation experience.
Tech Stack:
Backend & AI
Python
LangChain
OpenAI
Pinecone (Vector Database)
Retrieval-Augmented Generation (RAG)
Frontend & Avatar System
React
Three.js
Real-time avatar animation system
Lip-sync engine
Facial expression mapping
Body motion integration
Key Challenges Solved:
✔ Resume parsing and contextual knowledge extraction
✔ Dynamic interview question generation
✔ Real-time voice conversation pipeline
✔ Avatar lip-sync synchronization
✔ Emotion-driven facial expressions
✔ Memory-aware conversational flow
This project reflects how AI agents can move beyond text-based chatbots into immersive, human-like digital experiences.
AI agents + 3D avatars + contextual intelligence are opening new possibilities for training, education, customer support, and simulation systems.
This is one example of how I build AI-powered interactive systems that combine intelligence, design, and real-time user experience.
#AI #AIAgents #LangChain #OpenAI #ThreeJS #Python #React #MachineLearning #3DDevelopment #InterviewPreparation #RAG #Pinecone
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