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🎥 Live Product Internship
● Live Product

AI Video Assessment
Internship — 3 Months

Build a real, production-ready AI-powered video interview & assessment system from scratch. Covers full-stack development, Whisper transcription, GPT-4 scoring, RAG pipeline, and cloud deployment — across 12 weeks on a live product.

⏱️3 Months
📅12 Weeks
🗓️3 Days/Week
🚀Live Product
📍Online + Offline
🎓 Program Overview
3
Months
12
Weeks
3x
Days / Week
Live
Real Product
ReactNode.js WhisperGPT-4 RAGFAISS AWS S3WebRTC
📄
Offer Letter on Day 1
🏆
Dual Certificate
🚀
Deploy Real Product Live
💻
Full GitHub Contribution
🤝
Placement Support
Live Product

What You'll Actually Build

This is not a demo project. You will build and deploy a production-grade AI Video Interview & Assessment System used by real companies.

🎥
AI Video Interview System
Browser-based video recording with WebRTC — auto-upload, compression, and cloud storage on AWS S3 / Cloudinary.
📝
Auto Transcript Generation
Whisper-powered speech-to-text with timestamp and language detection. Handles accents, pauses, and code-switching.
🔍
RAG-based Smart Evaluation
Semantic search against indexed question bank for context-aware evaluation using FAISS / Pinecone vector DB.
📊
Real-time Scoring & Feedback
Multi-dimension GPT-4 scoring: technical accuracy, communication clarity, relevance — with instant feedback to candidates.
📈
Admin Dashboard & Analytics
Score trends, video replay, pass/fail stats, company-wise reports, and batch evaluation analytics for HR teams.
🏢
Company-specific Question Sets
Custom question banks per company with branding controls — white-label ready for enterprise deployment.
Full Curriculum

3-Month Internship Curriculum

12 weeks, 3 days per week. Each month focuses on a key layer of the product — from frontend to AI pipeline to production deployment.

📅 Month 01 — Foundation + Frontend + Video (Weeks 1–4)
Week 1 & 2
Project Setup + Auth + DB
Topics
  • VS Code, Node.js, Git & GitHub workflow setup
  • JWT Authentication: register, login, token refresh
  • MySQL / MongoDB schema design for assessment data
  • REST API architecture with Express.js / Laravel
  • React project setup with TypeScript & Tailwind CSS
Deliverable
  • Working auth system with role-based access (admin / candidate)
  • DB schema + API docs pushed to GitHub
Week 3 & 4
Question Bank + Video Recording
Topics
  • Question Bank CRUD with category, difficulty, tags
  • React UI: question listing, timer, navigation
  • WebRTC setup: browser-based video recording
  • Auto video upload to AWS S3 / Cloudinary
  • Video compression and format conversion
Deliverable
  • Working interview flow: load question → record → upload
  • Video stored in cloud, linked to candidate session
📅 Month 02 — AI Pipeline: Whisper + GPT + RAG (Weeks 5–8)
Week 5 & 6
Whisper Transcription Pipeline
Topics
  • Whisper API integration: audio extraction from video
  • Transcription pipeline with timestamp tracking
  • Handling multiple languages & accent normalization
  • Transcript storage in DB linked to video session
  • Background job queue for async processing
Deliverable
  • Video → audio → transcript fully automated pipeline
  • Transcript viewer in admin dashboard
Week 7 & 8
Embeddings + Vector DB + RAG
Topics
  • OpenAI Embeddings API: converting text to vectors
  • FAISS (local) and Pinecone (cloud) vector DB setup
  • Indexing question bank for semantic search
  • RAG pipeline: retrieve relevant context → GPT-4 evaluation
  • Prompt engineering for evaluation prompts
Deliverable
  • RAG evaluation pipeline running on real transcripts
  • Context-aware scoring using question bank retrieval
📅 Month 03 — Scoring Engine + Dashboard + Deploy (Weeks 9–12)
Week 9 & 10
AI Scoring Engine + Real-time Feedback
Topics
  • Multi-dimension scoring: technical accuracy, communication, relevance
  • Structured GPT-4 output with JSON scoring schema
  • Real-time feedback generation for candidates
  • Redis caching for fast repeated evaluations
  • Scoring confidence thresholds and fallback logic
Deliverable
  • Working AI scoring engine with multi-dimension scores
  • Candidate result page with detailed feedback
Week 11 & 12
Admin Dashboard + Cloud Deployment
Topics
  • Admin dashboard: score trends, video replay, pass/fail stats
  • Company-specific question sets & branding controls
  • CI/CD setup with GitHub Actions
  • Cloud deployment: Railway / AWS EC2
  • Final live demo preparation & documentation
Deliverable
  • 🚀 Fully deployed live product with public URL
  • GitHub repo + live demo + project report
Week-by-Week Roadmap

12-Week Build Roadmap

Every week has a clear goal. You ship working code by the end of each sprint.

Wk 1–2
Setup, Git, Auth System — VS Code + Node.js + GitHub workflow + JWT Auth + DB schema design
Wk 3–4
Question Bank CRUD + React UI + Video Recording — Question management, WebRTC setup, browser-based video capture & upload
Wk 5–6
Whisper Transcription Pipeline — Audio extraction from video, Whisper API integration, transcript storage in DB
Wk 7–8
Embeddings + Vector DB + RAG Pipeline — FAISS / Pinecone setup, question bank indexing, RAG-based evaluation using GPT-4
Wk 9–10
AI Scoring Engine + Real-time Feedback + Redis — Multi-dimension scoring, structured output, candidate result page, Redis caching
Wk 11–12
Admin Dashboard + Cloud Deployment + Final Live Demo — Analytics, company branding, CI/CD, deploy to Railway / EC2, live product handoff
Tech Stack

Full Technology Stack

Industry-standard stack used in production AI SaaS products — every tool you'll use is what real companies use.

Frontend
⚛️ React
🔷 TypeScript
🎨 Tailwind CSS
📹 WebRTC
Backend
⚡ Node.js
🐘 Laravel
🔗 REST APIs
🔐 JWT Auth
AI / ML
🎤 Whisper
🤖 GPT-4
🧠 Embeddings API
✍️ Prompt Eng.
Storage
☁️ AWS S3
🖼️ Cloudinary
⚡ Redis Cache
🗄️ MySQL / MongoDB
Vector DB & Deploy
🔍 FAISS (local)
📌 Pinecone (cloud)
🔄 GitHub CI/CD
🚀 Railway / EC2
What You'll Get

Deliverables & Outcomes

📄
Offer Letter
Official internship offer letter from APS Solutions on Day 1
🏆
Dual Certificate
Training + Completion certificate from TechVyuh
🚀
Live Product URL
Deployed AI product with public URL to showcase
💻
GitHub Portfolio
Full contributor history on a real product repository
📝
Project Report
Detailed architecture and technical report document
🤝
Placement Support
Resume, LinkedIn, mock interviews & referrals
Ideal For

Who Should Join This Internship?

🎓
B.Tech / BCA / MCA Students

Final or pre-final year students wanting a strong portfolio project with real AI + full-stack skills before placements.

💻
Developers Upskilling to AI

Developers who know web/mobile and want to transition into AI-integrated product development using modern LLM tools.

🚀
Aspiring AI Product Engineers

People targeting AI startup or product company roles who need real product experience beyond typical course certificates.

🏢
Freshers Targeting SaaS Companies

Fresh graduates who want a strong differentiator — a live, deployed AI product on their resume from Day 1.

FAQ

Frequently Asked Questions

What skills do I need before joining?

▼
Basic knowledge of JavaScript or Python and some understanding of web development is recommended. You don't need prior AI experience — we cover Whisper, GPT-4, and RAG from scratch. Strong motivation and 3 days/week commitment is what matters most.

Is this a real product or a practice project?

▼
This is a real product. You are building an AI Video Assessment System that will be deployed live and used by actual companies for hiring. Your GitHub contributions on this repo will be real and verifiable.

How many days per week is the commitment?

▼
3 days per week over 12 weeks (3 months). Sessions are 2–3 hours each. You can choose online or offline at our Lucknow center. Recordings are provided for all sessions.

Will I get a real offer letter?

▼
Yes — an official internship offer letter from APS Solutions is issued on Day 1. This is valid for university internship credit requirements and adds credibility to your job applications.

What job roles does this prepare me for?

▼
Full Stack Developer (AI-integrated), AI Product Engineer, Backend Developer (Node.js/Python), AI SaaS Developer, LLM Application Developer. Having a live product with Whisper + GPT-4 + RAG is a major differentiator for 2025 hiring.

What is the program fee?

▼
Please contact us for current pricing — call or WhatsApp +91 9560078913 or fill the form below. EMI options are available. The investment includes offer letter, dual certificate, all sessions, mentor access, and placement support.
Apply Now

Join the AI Video Assessment Internship

Fill the form and our team will reach out within 24 hours with batch schedule and joining details.

📞
+91 9560078913
✉️
brajendrasingh@techvyuh.com
🌐
www.techvyuh.com
📍
Trinity Onex 3rd Floor, Office Space 5,6, Opp. Akash Enclave, Near Petrol Pump, Sector 6 Vrindavan Yojna, Lucknow — 226029

Build a Live AI Product. Get Hired.

3 months. 12 weeks. A deployed AI video assessment system on your GitHub. New batches start every Monday.