System Requirements Document (SRD)

Project Name: dawn-ai

1. Introduction

The dawn-ai project is an innovative AI-powered system designed to autonomously assist Rohan Jaiswal in securing legitimate job opportunities worldwide. The system will focus on remote jobs globally and hybrid/WFO jobs specifically for Bengaluru, Karnataka, India. It will customize resumes and cover letters, apply for jobs autonomously, and provide interview preparation guidance—all while running seamlessly on Rohan's Android phone using free APIs and cloud resources.

This document outlines the system requirements for dawn-ai, ensuring it meets Rohan's needs effectively and efficiently.

2. System Overview

The dawn-ai system will function as a 24/7 AI agent capable of:

• Scraping job postings from public, open, and confidential sources.
• Customizing resumes and cover letters to match job descriptions.
• Applying for jobs autonomously with a professional, human-like approach.
• Tracking application statuses and sending updates via email, WhatsApp, Telegram, and direct notifications.
• Preparing Rohan for assessments and interviews by providing tailored guidance and reminders.
• Running smoothly on Rohan's Android phone with an interactive start/stop interface.

The system will leverage free APIs and cloud servers to ensure cost-effectiveness while maintaining high functionality.

3. Functional Requirements

As User:

• I should be able to start and stop the AI system via a simple interface on my Android phone.
• I should receive notifications and reminders about job application updates, assessments, and interviews via email, WhatsApp, and Telegram.
• I should be able to track the status of all job applications in real-time.
• I should receive tailored interview questions and test preparation guidance for specific job roles.
• I should be able to view a summary of all applied jobs and their statuses.

As AI Agent:

• It should autonomously scrape job postings from global sources and Bengaluru-specific platforms.
• It should customize resumes and cover letters to match job descriptions.
• It should apply for jobs autonomously with a professional tone.
• It should identify and prioritize jobs relevant to my skills and experience.
• It should send updates and reminders about next steps (e.g., assessments, interviews).

4. User Personas

1. Primary User:

• Name: Rohan Jaiswal
• Role: Job seeker
• Needs:
  • A seamless AI system to autonomously apply for jobs.
  • Notifications and reminders for updates and next steps.
  • Tailored interview preparation guidance.
• Devices: Android phone

5. Visuals Colors and Theme

Color Palette:

• Background: #F5F9FC (soft sky blue)
• Surface: #FFFFFF (pure white)
• Text: #2C3E50 (deep navy blue)
• Accent: #3498DB (vibrant azure blue)
• Muted Tones: #BDC3C7 (light gray)

Theme:

The design will feature a clean, professional aesthetic with a focus on simplicity and user-friendliness. The interface will use soft blues and whites to evoke trust and reliability, complemented by vibrant accents for interactive elements.

6. Signature Design Concept

Interactive Job Application Dashboard:

The homepage will feature a dynamic dashboard that visually represents job application progress as a timeline.

• Design Features:

  • A progress bar that updates in real-time as applications are submitted, reviewed, and responded to.
  • Interactive cards for each job application, which flip to reveal details like job description, application status, and next steps.
  • Micro-interactions: Hover effects, smooth transitions, and animations to make the interface engaging.
  • Notification Center: A dedicated section for reminders and updates, styled as a sleek dropdown.

• User Experience:

  • Upon opening the app, Rohan will see a visual summary of his job application journey.
  • Clicking on a job card will reveal tailored interview questions and preparation tips.
  • The dashboard will feel alive and responsive, creating an immersive experience.

7. Non-Functional Requirements

• Performance: The system must run smoothly on Android devices with minimal resource consumption.
• Scalability: The system should handle large volumes of job postings and applications without lag.
• Reliability: Notifications and updates must be delivered promptly and accurately.
• Security: User data (resume, contact details) must be encrypted and stored securely.
• Cost-Effectiveness: The system must leverage free APIs and cloud resources to minimize costs.

8. Tech Stack

Frontend:

• React Native for Android app development

Backend:

• Python
• FastAPI

Database:

• MySQL for structured data (job tracking, user preferences)
• MongoDB for unstructured data (job descriptions, resumes)

AI Models:

• GPT 5.4 for resume customization and job application content generation
• Claude 4.6 Opas for interview preparation guidance
• Google Nano Banana for image generation (if needed for visual elements)

AI Tools:

• Litellm for LLM routing
• Langchain for workflow orchestration

Local Orchestration:

• Docker
• Docker Compose

Server-Side Orchestration:

• Kubernetes

9. Assumptions and Constraints

Assumptions:

• The user has a stable internet connection on their Android phone.
• Free APIs and cloud resources will be sufficient for system functionality.
• Job postings will be accessible via public or open sources.

Constraints:

• The system must operate within the limitations of free cloud services.
• The app must be lightweight to ensure smooth performance on Android devices.

10. Glossary

• AI Agent: The autonomous system performing job searches, applications, and notifications.
• Resume Customization: Tailoring the user's resume to match specific job descriptions.
• Job Scraping: Extracting job postings from various online sources.
• Interactive Dashboard: A visual interface displaying job application progress and updates.
• Micro-Interactions: Small animations or transitions that enhance user experience.