System Requirements Document (SRD)

Project Name: Wooden-Interview

1. Introduction

The Wooden-Interview project aims to create an advanced invisible assistant application tailored for interview scenarios. Initially focused on supporting interviewees, the scope has now been expanded to include features for interviewers, inspired by the functionality of the Parakeet AI app. This document outlines the system requirements for the Wooden-Interview application, ensuring it delivers cutting-edge real-time assistance to both interviewees and interviewers.

The application is designed for users in India (IN), with locale-specific defaults such as IST timezone and INR currency where applicable.

2. System Overview

Wooden-Interview is a dual-purpose invisible assistant application designed to enhance the interview experience for both interviewees and interviewers. The system leverages AI-driven tools to provide real-time transcription, feedback, analytics, and suggestions during interviews.

Key features include:

• Real-time transcription and analysis of conversations.
• Contextual suggestions and tips for interviewees to improve their responses.
• Interviewer-specific tools for evaluating candidates, generating feedback, and managing interview sessions.
• A seamless, distraction-free interface that operates in the background, ensuring users remain focused on the interview.

The system will be accessible via web and mobile platforms, ensuring flexibility and ease of use.

3. Functional Requirements

Interviewee Features:

• As an Interviewee, I should be able to receive real-time transcription of my spoken answers.
• As an Interviewee, I should be able to get contextual suggestions for improving my responses during the interview.
• As an Interviewee, I should be able to view post-interview analytics, including strengths and weaknesses.
• As an Interviewee, I should be able to access a library of common interview questions and tips.

Interviewer Features:

• As an Interviewer, I should be able to receive real-time transcription of the candidate's responses.
• As an Interviewer, I should be able to generate automated feedback based on the candidate's performance.
• As an Interviewer, I should be able to access analytics to evaluate the candidate's strengths and weaknesses.
• As an Interviewer, I should be able to manage interview sessions, including scheduling and tracking.
• As an Interviewer, I should be able to access a library of behavioral and technical questions for interviews.

4. User Personas

1. Interviewee

• Description: A candidate preparing for or participating in an interview.
• Goals: To improve performance, receive real-time assistance, and gain insights into their strengths and weaknesses.
• Pain Points: Nervousness, lack of preparation, difficulty articulating responses.

2. Interviewer

• Description: A recruiter, hiring manager, or technical lead conducting interviews.
• Goals: To evaluate candidates effectively, streamline the interview process, and provide constructive feedback.
• Pain Points: Time-consuming evaluations, difficulty tracking candidate performance, lack of structured feedback tools.

5. Visuals Colors and Theme

Color Palette

The Wooden-Interview application will use a professional yet approachable color scheme to ensure a calm and focused environment during interviews.

• Background: #F5F5F5 (Soft Gray)
• Surface: #FFFFFF (Pure White)
• Text: #333333 (Deep Charcoal)
• Accent: #4A90E2 (Calm Blue)
• Muted Tones: #B0BEC5 (Neutral Steel)

6. Signature Design Concept

Concept: Interactive Floating Desk Environment

The Wooden-Interview homepage will feature a 3D interactive floating desk environment. Users will feel as though they are sitting at a virtual desk, surrounded by tools and resources.

• Visuals: A sleek wooden desk with subtle animations—papers fluttering, a glowing assistant orb, and a virtual notebook that opens when clicked.
• Interactions:
  • Clicking on the assistant orb will activate the invisible assistant.
  • Hovering over the notebook will reveal tips and analytics.
  • The desk environment will subtly shift based on the time of day (e.g., warm tones in the morning, cooler tones in the evening).
• Transitions: Smooth zoom-in and zoom-out effects when navigating between sections.
• Micro-interactions: Buttons and icons will have a tactile "press" effect, enhancing user engagement.

This immersive design will make the application feel alive and engaging while maintaining a professional tone.

7. Non-Functional Requirements

• The system must provide real-time transcription with an accuracy of at least 95%.
• The application must support both web and mobile platforms.
• The system must ensure data privacy and comply with GDPR and Indian data protection laws.
• The application must load within 3 seconds on standard internet connections.
• The system must support scalability to handle up to 10,000 concurrent users.

8. Tech Stack

Frontend

• React for Web
• React Native for Mobile App

Backend

• Python
• FastAPI

Database

• MySQL or MariaDB (preferred for structured data)
• MongoDB (for unstructured data)

AI Models

• GPT 5.4 for user-friendly responses
• Claude 4.6 Opas for academic or coding work
• Gemini 3.1 Pro for friendly responses
• Google Nano Banana for image generation

AI Tools

• Litellm for LLM Routing
• Langchain

Orchestration

• Docker and Docker-Compose for local orchestration
• Kubernetes for server-side orchestration

9. Assumptions and Constraints

Assumptions

• Users will have access to stable internet connections during interviews.
• The application will primarily be used in English, with potential for localization in the future.
• The target audience is familiar with basic app navigation.

Constraints

• The system must comply with Indian data protection laws.
• The application must operate seamlessly across multiple devices and platforms.
• The AI models must be optimized to ensure low latency during real-time interactions.

10. Glossary

• Invisible Assistant: A background tool that provides real-time support without distracting the user.
• Transcription: The process of converting spoken words into text.
• Analytics: Data-driven insights into user performance and behavior.
• Micro-interactions: Small, subtle animations or effects that enhance user experience.
• Orchestration: The automated arrangement and coordination of system components.

End of Document.