Coffee Tea: Virtual Interview Preparation Platform

A virtual interview preparation platform offering:

Real-time mock interviews via WebRTC video technology
AI-powered mentor matching algorithm
Structured skill development with TypeScript and Next.js
Secure Stripe payment processing for session bookings

Next.jsTailwindCSSFirebaseWebRTCStripeTypeScriptFramer MotionInterview PreparationReal-time VideoAI Matching

Coffee Tea: Virtual Interview Preparation Platform

Project Details

Client: Coffee Tea Inc.

Duration: June 1, 2023 - February 29, 2024

Team Size: 12

View Live Site View on GitHub

Project Overview

Coffee Tea revolutionizes interview preparation through technology:

Technical Architecture:

Frontend: Next.js with TypeScript for type safety and SSR
Styling: TailwindCSS with Framer Motion animations
Real-time: WebRTC for video calls with STUN/TURN servers
Backend: Firebase functions and authentication
Database: Firestore for real-time data sync

Core Features:

Low-latency video interviews with screen sharing
AI-powered mentor matching based on 15+ factors
Interactive feedback system with recording playback
Progress tracking with actionable insights

Problem

Interview preparation faces several challenges:

Lack of access to industry-specific mentors
No realistic simulation of technical interviews
Limited structured feedback on performance
High anxiety due to unfamiliar interview environments

Solution

We built Coffee Tea to address these challenges:

Real-time video platform simulating actual interviews
Smart matching connecting candidates with relevant mentors
Structured feedback system with recording analysis
Personalized learning paths based on performance

Key Features

Real-time video interviews with recording
Mentor matching algorithm
Resume feedback tool
Technical question bank
Behavioral interview simulator
Progress analytics dashboard
Session scheduling system
Payment processing
Mobile-responsive design
Accessibility-compliant UI

Results and Metrics

Coffee Tea delivered measurable impact:

50,000+ mock interviews conducted
25% higher interview success rate for users
40% increase in user confidence
4.8/5 average platform rating
92% mentor satisfaction score

user Base

100000

performance

Average page load time of 1.8 seconds

uptime

99.9%

custom Metric

Interview Success Rate Increase: 25%

Average Session Rating: 4.8

Mentor Retention Rate: 85%

Client Testimonial

"Coffee Tea transformed my job search. The mock interviews and personalized feedback gave me the confidence to ace my interviews and land my dream job at a FAANG company."
Sarah Chen, Software Engineer, Tech Giant

Challenges and Solutions

Challenge 1

Maintaining video quality across network conditions

Solution:

Implemented WebRTC with adaptive bitrate and fallback servers

Challenge 2

Creating accurate mentor-candidate matches

Solution:

Developed AI algorithm analyzing 15+ compatibility factors

Challenge 3

Handling sensitive payment and personal data

Solution:

Built secure architecture with Firebase Auth and Stripe encryption

Our Role and Responsibilities

Technical leadership for frontend architecture
WebRTC video system implementation
Payment processing integration
Performance optimization
Mentor team members
UX/UI quality assurance

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Project Overview

Coffee Tea revolutionizes interview preparation through technology:

Technical Architecture:

Frontend: Next.js with TypeScript for type safety and SSR
Styling: TailwindCSS with Framer Motion animations
Real-time: WebRTC for video calls with STUN/TURN servers
Backend: Firebase functions and authentication
Database: Firestore for real-time data sync

Core Features:

Low-latency video interviews with screen sharing
AI-powered mentor matching based on 15+ factors
Interactive feedback system with recording playback
Progress tracking with actionable insights

Problem

Interview preparation faces several challenges:

Lack of access to industry-specific mentors
No realistic simulation of technical interviews
Limited structured feedback on performance
High anxiety due to unfamiliar interview environments

Solution

We built Coffee Tea to address these challenges:

Real-time video platform simulating actual interviews
Smart matching connecting candidates with relevant mentors
Structured feedback system with recording analysis
Personalized learning paths based on performance

Results and Metrics

Coffee Tea delivered measurable impact:

50,000+ mock interviews conducted
25% higher interview success rate for users
40% increase in user confidence
4.8/5 average platform rating
92% mentor satisfaction score

user Base

100000

performance

Average page load time of 1.8 seconds

uptime

99.9%

custom Metric

Interview Success Rate Increase: 25%

Average Session Rating: 4.8

Mentor Retention Rate: 85%

Challenges and Solutions

Challenge 1

Maintaining video quality across network conditions

Solution:

Implemented WebRTC with adaptive bitrate and fallback servers

Challenge 2

Creating accurate mentor-candidate matches

Solution:

Developed AI algorithm analyzing 15+ compatibility factors

Challenge 3

Handling sensitive payment and personal data

Solution:

Built secure architecture with Firebase Auth and Stripe encryption