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📌 Hiring & Onboarding System Setup
➡️ Snapshot: Created a structured hiring and onboarding system, including application workflows, candidate filtering, and onboarding processes—improving organization, communication, and hiring efficiency.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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This was created with a design subscription from FANCY — and yes, we’re currently open to new projects.
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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
Honestly I got tired of projects getting messy because briefs, chats and notes were all over the place. So I built a simple system where clients submit all their project details in a structured way and then everything that follows chats, updates, my notes stays in the same place. No tab switching, no “wait what did you mean” moments, just clarity from day one. Built this in the last stretch of the challenge and it already feels like something I should have made way earlier.
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