System Requirements Document (SRD) for smart-ai

1. Introduction

The smart-ai project is designed to revolutionize the job-seeking process for students, entry-level job seekers, and mid-career professionals. By leveraging cutting-edge AI technologies, smart-ai aims to provide users with tools to create professional resumes, generate tailored cover letters, prepare for interviews, and develop personalized skill improvement roadmaps. This platform is built with a focus on simplicity, speed, and usability, ensuring that users can quickly access the resources they need to succeed in competitive job markets.

This document outlines the system requirements for smart-ai, including functional and non-functional requirements, user personas, design concepts, and technical specifications.

2. System Overview

smart-ai is an AI-powered platform that caters to two primary user groups:

1. Entry-level job seekers: Students and fresh graduates looking to create their first professional resumes, prepare for interviews, and enter the workforce.
2. Mid-career professionals: Individuals seeking to upskill, rebrand, or transition into new roles.

The platform will include the following core features:

• AI-driven resume generator with customizable templates.
• Cover letter generator tailored to specific job descriptions.
• Interview preparation tools, including AI-generated questions and tips.
• Skill assessment and personalized improvement roadmaps.

The system will prioritize ease of use, fast performance, and a visually appealing interface to ensure a seamless user experience.

3. Functional Requirements

• As a User, I should be able to generate a professional resume using AI.
• As a User, I should be able to create a tailored cover letter for specific job applications.
• As a User, I should be able to practice interview questions generated by AI.
• As a User, I should be able to receive a personalized skill improvement roadmap based on my career goals.
• As an Admin, I should be able to manage and update resume templates.
• As an Admin, I should be able to monitor user activity and platform performance.

4. User Personas

4.1 Entry-Level Job Seeker

• Description: Students or fresh graduates looking for their first job.
• Goals: Create a professional resume, prepare for interviews, and stand out in the job market.
• Pain Points: Lack of experience, difficulty in crafting resumes and cover letters, and uncertainty about interview preparation.

4.2 Mid-Career Professional

• Description: Individuals with work experience seeking to upskill, rebrand, or transition into new roles.
• Goals: Highlight relevant experience, tailor resumes and cover letters for specific roles, and identify skill gaps.
• Pain Points: Difficulty in showcasing transferable skills, staying competitive, and identifying areas for improvement.

4.3 Admin

• Description: Platform administrators responsible for managing templates, monitoring performance, and ensuring smooth operation.
• Goals: Maintain platform quality, update content, and analyze user engagement.
• Pain Points: Ensuring scalability, managing user feedback, and keeping content relevant.

5. Visuals Colors and Theme

Color Palette

• Background: #EAF4FF (Light Mist Blue)
• Surface: #FFFFFF (Pure White)
• Text: #1F2933 (Charcoal Gray)
• Accent: #FF7A59 (Warm Tangerine)
• Muted: #D1D5DB (Cool Slate Gray)

The color palette is designed to evoke professionalism, trust, and approachability, aligning with the needs of job seekers and professionals.

6. Signature Design Concept

Dynamic Career Pathway Homepage

The homepage of smart-ai will feature an interactive career pathway visualization. Users will see a dynamic, flowing pathway that represents their career journey. Each milestone along the pathway corresponds to a feature of the platform (e.g., resume generator, cover letter AI, interview prep, etc.).

• Animations: The pathway will animate as users scroll, with glowing nodes representing milestones. These nodes will pulse gently to draw attention.
• Transitions: Smooth scrolling will reveal new sections of the pathway, creating a sense of progress and discovery.
• Color Shifts: The pathway will transition between shades of blue, orange, and green, symbolizing growth, opportunity, and success.
• Micro-Interactions: Hovering over a milestone will display a tooltip with a brief description of the feature. Clicking on a milestone will expand it into a detailed view or navigate to the corresponding page.

This design concept will make the platform visually engaging and intuitive, encouraging users to explore all features while reinforcing the idea of career progression.

7. Non-Functional Requirements

• The platform must load within 2 seconds for 90% of users.
• The system should support at least 10,000 concurrent users.
• Data storage must comply with local data protection regulations in Bhutan.
• The platform should be accessible on both desktop and mobile devices.
• Regular updates should be deployed with zero downtime.

8. Tech Stack

Frontend

• React for Web
• React Native for Mobile App

Backend

• Python
• FastAPI

Database

• MySQL (with Alembic for migrations)

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

• The platform assumes users have basic digital literacy.
• The system will primarily target users in Bhutan but can scale globally.
• Internet connectivity is required for all features.
• The platform will use English as the default language, with potential for localization in the future.

10. Glossary

• AI: Artificial Intelligence
• Resume Generator: A tool that creates professional resumes based on user input.
• Cover Letter AI: A feature that generates tailored cover letters for job applications.
• Skill Improvement Roadmap: A personalized plan to help users develop skills relevant to their career goals.
• LLM: Large Language Model
• Orchestration: The automated arrangement, coordination, and management of computer systems and services.