Aptiview

Home Page
Features
Candidate Dashboard
Interview Starting
AI interview
Recruiter Dashboard Job Posting
Tracking of Applicants
Analysis of the interview
Score based on performance
Interview Media (Audio & Video) Shared with Recruiter

🚀 Inspiration

While applying for internships and job roles, we noticed a common pattern - companies often send the same assignment to every applicant as the first round of shortlisting. But after speaking directly with a few HR professionals, we uncovered a major inefficiency.

When hundreds or even thousands of applicants apply for a role, recruiters are forced to mass-distribute assignments. However, most candidates never respond. Some who do submit low-effort work, and even among those who complete it properly, many aren't suitable for interviews. This creates a frustrating bottleneck for companies and a disconnected experience for candidates.

We felt this system needed a smarter, more human-like filter - one that evaluates intent, communication, and thought process upfront.

That’s why we created Aptiview - an AI-powered platform that simulates voice-based interviews as the first-round screening. It helps recruiters immediately identify engaged, capable candidates, and allows applicants to express themselves naturally, beyond a cold email or a coding test. It's designed to make the hiring process more human, more efficient, and more insightful - right from the start.

💡 What it does

Aptiview is an AI-driven interview platform that:

Conducts voice-based, real-time interviews using OpenAI’s voice models.
Transcribes and analyzes candidate responses using Whisper and GPT.
Generates automated candidate insights and scores based on tone, fluency, and relevance.
Offers recruiters a live dashboard to manage jobs, track applicants, and review recorded interviews.
Includes screen and audio recording to ensure authenticity and context.
Supports role-based logins with separate flows for recruiters and candidates.

🛠️ How we built it

We structured Aptiview as a full-stack web application:

Frontend: Built using Next.js 14, TypeScript, Tailwind CSS, and Shadcn/ui for a modern and modular design.
Backend: Node.js with Express, WebSocket support for live transcription, and Prisma ORM for database access.
Database: PostgreSQL hosted on Prisma.
AI Integration: OpenAI’s GPT and Whisper APIs power the voice conversation and transcription logic.
Recording Tools: Native browser APIs for screen and audio capture, uploaded and stored securely.
Authentication: Clerk with JWT-based role-specific access.
Deployment: Vercel for the frontend, Render for the backend, and GitHub Actions for CI/CD workflows.

⚠️ Challenges we ran into

Real-time voice processing: Syncing the voice input, transcription, and scoring in real time was tricky due to network and processing delays.
Browser compatibility: Ensuring screen and audio recording worked reliably across different browsers and devices.
Candidate experience: Designing a voice-based AI interview flow that felt conversational—not robotic or awkward.
Scoring logic: Building fair and consistent evaluation metrics using AI while avoiding bias or overfitting.

🏆 Accomplishments that we're proud of

Developed a fully functional end-to-end interview platform with seamless AI integration.
Achieved stable real-time transcription and scoring with minimal latency.
Created a clean, user-friendly interface for both recruiters and candidates.
Designed a scalable backend capable of handling thousands of interview sessions.
Built a system that recruiters can actually use to save time and improve hire quality.

📚 What we learned

How to effectively integrate large language models into real-time user workflows.
The challenges of syncing audio processing, transcription, and analytics at scale.
Handling cross-browser recording and security issues with care.
Designing for different user personas (recruiter vs. candidate) in the same platform.
How small UX decisions can greatly affect the perceived quality of an AI system.

🔮 What's next for Aptiview

Multi-language support to make interviews more inclusive and accessible.
Custom interview ai agent settings for different job roles and industries.
Facial expression analysis during interviews for deeper candidate insights.
Team collaboration tools so recruiters can comment, rate, and discuss candidate performance.
Analytics dashboard with hiring trends, drop-off rates, and question difficulty heatmaps.
Mobile-friendly candidate experience to increase interview completion rates.

Aptiview is just the beginning of what smarter, AI-enhanced hiring can look like. Our vision is to help companies find the right talent - not just based on resumes or tests, but by truly understanding how candidates think, speak, and solve problems.