// build_guide
// How to build AI Coding Interview Coach for Indian Engineering Students
This stack handles AI integration complexity while supporting real-time coding sessions and Indian payment preferences. OpenAI API provides interview coaching intelligence, while WebRTC enables live coding practice sessions essential for placement preparation.
Complexity 8/10AI Product
// recommended_stack
FrontendReact.js with TypeScript
BackendNode.js with Express
DatabasePostgreSQL with Redis for caching
AuthAuth0 or Firebase Auth
HostingAWS or Google Cloud Platform
ExtraOpenAI GPT-4 API
ExtraWebRTC for real-time coding
ExtraRazorpay payment gateway
ExtraSocket.io for real-time communication
ExtraMonaco Editor for code editing
// cost_and_timeline
USD min
$12,000
USD max
$18,000
INR min
₹10.0L
INR max
₹15.0L
Typical AI Product projects cost $6,000–$18,000 USD and take 10–16 weeks with an Indian dev team. See the full cost guide →
// timeline_breakdown
1 weekDiscovery & Design
1 weekAuthentication & User Management
3 weeksAI Integration & Core Features
2 weeksReal-time Editor & Payment System
1 weekTesting & Deployment
// mvp_features[]
## What to build in the MVP
—User registration and authentication
—AI-powered coding problem generation
—Real-time code editor with syntax highlighting
—AI feedback on coding solutions
—Basic payment integration with Razorpay
—Progress tracking dashboard
—Mock interview sessions with AI evaluation
// risk_flags[]
## Engineering risks to plan for
!High OpenAI API costs with medium user scale
!Real-time coding sessions require complex WebRTC implementation
!AI coaching quality directly impacts user retention
!Competition from established platforms like InterviewBit and GeeksforGeeks
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// related_resources