AI Sentiment Analysis
Detects candidate confidence and tone during interviews.
AI-Powered Recruitment Marketplace
Building a scalable AI video interview platform for global hiring.
AI Platform
Startup founders, HR Managers, Recruitment Agencies
$15,000 – $25,000
HR-Tech
Industry
AI Recruitment Marketplace
App Type
3–4 weeks
Timeline
Web, Android, iOS
Platforms
Project Overview
1
What We Built
- A complete AI-proctored video interview system with real-time candidate scoring.
- Reduces screening time by 75% and ensures unbiased hiring decisions.
- Ideal for: Startups, Enterprise HR Teams
2
The Challenge
- Traditional screening is slow and often subjective, leading to bad hires and wasted resources.
- Manual resume screening
- High volume of noise
- Long time-to-hire
3
Our Solution
- Integrated GPT-4 for transcription and sentiment analysis with a custom-trained ranking algorithm.
- Using RAG for job-specific analysis
- Edge-based video processing
4
Results & Impact
- Clients reduced hiring costs by 40% in the first quarter of usage.
- 75% faster screening
- Improved hire quality
- Production-ready MVP in 3 weeks
Key Features & Scalability
Essential features and scalability measures that make this MVP powerful, user-friendly, and ready to grow.
Automated Shortlisting
AI ranks candidates against Job Description automatically.
Multi-language Support
Support for interviews in 50+ languages.
Scalable AWS serverless infrastructure.
Initial infrastructure setup designed for growth and expansion.
Scaling Strategy
Microservices, Horizontal pod autoscaling
Supports 5,000 concurrent interviews.
Traffic handling capability for high-volume concurrent users.
How We Built It
Our step-by-step development process from concept to deployment, ensuring quality and efficiency at every stage.
01
Discovery
Defining AI evaluation parameters and candidate flow.
02
Architecture
Setting up vector databases and video pipelines.
03
AI Integration
Prompt engineering and model optimization.
04
Design System
Medical-grade clean UI for enterprise trust.
05
Wireframes
Optimized for high-speed candidate evaluation.
06
Handoff Process
Direct transition from Figma to optimized Next.js components.
Core Product Modules
1
User App
- Video Interview Room
AI-proctored environment for recorded candidate responses.
- Candidate Dashboard
Profile management and application tracking.
2
Admin Panel
- Recruiter Portal
AI-ranked candidate shortlists and video playback.
- Job Management
Create jobs with custom AI evaluation criteria.
Technology Stack
We use modern tools to build AI apps that grow with you. We pick the best tools for each project, like React, Next.js, Python, and Go.
nextjs
Learn more about nextjs technology
react
Learn more about react technology
tailwind
Learn more about tailwind technology
framer
Learn more about framer technology
nodejs
Learn more about nodejs technology
python
Learn more about python technology
fastapi
Learn more about fastapi technology
supabase
Learn more about supabase technology
redis
Learn more about redis technologyPerformance & Security
Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.
Frontend Performance
Adaptive streaming, Dynamic imports
Backend Performance
Async AI processing, CDN caching
Database Performance
Search indexing, Redis caching
Authentication
Auth0/Supabase JWT-based security.
Data Protection
End-to-end encryption, Secure AWS S3 storage
Security Best Practices
Data anonymization, PII protection
Performance & Security
Built with enterprise-grade optimization and security measures to ensure fast, reliable, and secure operation.
Frontend Performance
Adaptive streaming, Dynamic imports
Backend Performance
Async AI processing, CDN caching
Database Performance
Search indexing, Redis caching
Authentication
Auth0/Supabase JWT-based security.
Data Protection
End-to-end encryption, Secure AWS S3 storage
Security Best Practices
Data anonymization, PII protection
Project Timeline
1
Core AI Engine
2 weeks
- LLM Integration
- Video Pipeline
2
Product Launch
2 weeks
- User Portal
- Admin Dashboard
Explore Related Content
Discover more case studies, services, and insights
Case Study
AI Content Engine
Automate high-quality content generation for marketing teams
Case Study
AI HR Recruiter
Streamline hiring with intelligent resume parsing and interview ranking
Blog
Roadmap: From AI MVP to Scaled Product
Navigating the journey from an AI concept to a market-leading product is challenging. This roadmap guides founders, entrepreneurs, and product managers through crucial phases of building and scaling A
Blog
Best Tech Stack for AI MVPs in 2026
Unlocking success for AI MVPs in 2026 demands a robust tech stack for rapid prototyping, data handling, and deployment. This guide explores critical factors for startup founders to build scalable AI p
Ready to Build Your MVP?
Schedule a complimentary strategy session. Transform your concept into a market-ready MVP within 2-3 weeks. Partner with us to accelerate your product launch and scale your startup globally.