Applying for a PdO role and HireBus.com https://www.linkedin.com/jobs/view/4159103156 asked me to build this Google Doc.
An AI-powered, cross-platform hiring automation tool for resume screening, AI-driven interviews, and scheduling.
Built with Agile principles, optimized for real-world scalability, and integrated with Bolt.
- Project Overview
- Business Requirements
- User Stories
- Technical Solution & Architecture
- Web & Mobile Sync Strategy
- Real-World Development Challenges
- Feeding Bolt for Workflow Automation
- Agile Roadmap & Execution
- Mitigation Strategies for Scaling & Stability
- Final Steps & Deployment Strategy
- Future Enhancements
- Final Checklist
- Next Step
TalentSync AI is a cross-device, AI-powered hiring solution designed to:
✔ Automate resume ranking using AI-powered screening
✔ Use a chatbot for pre-screening interviews to eliminate manual phone screens
✔ Enable automated scheduling with Google Calendar sync
✔ Ensure real-time updates across web & mobile using Firebase and Bolt workflows
✅ Automate resume parsing & ranking based on relevance
✅ Implement an AI chatbot for pre-screening
✅ Ensure web & mobile sync for hiring managers on the go
✅ Provide scalable, API-first architecture for future integrations
✅ Use A/B testing & continuous improvement for optimizing candidate experience
- Business Type: Any small-to-medium business hiring non-technical or customer-facing roles
- Pain Points:
- No HR team → Needs an AI-powered resume filter
- Phone screening is time-consuming → AI chatbot pre-screening needed
- Manual scheduling delays → One-click Google Calendar scheduling required
As a hiring manager,
I want an AI-powered resume ranking system
So that I can quickly shortlist top applicants
✅ Acceptance Criteria:
- AI extracts job experience, skills, education from resumes
- Assigns job-fit scores based on role requirements
- Hiring managers see a ranked candidate dashboard with filtering options
As a hiring manager,
I want an AI chatbot to conduct pre-interviews
So that I can reduce time spent on manual screenings
✅ Acceptance Criteria:
- Chatbot asks customized role-based questions
- AI evaluates responses & ranks candidates
- Candidates receive instant feedback on performance
As a hiring manager,
I want a fully automated interview scheduling system
So that I can seamlessly move top candidates forward
✅ Acceptance Criteria:
- Shortlisted candidates receive an interview invite
- Google Calendar sync enables 1-click scheduling
- Candidates receive confirmation emails & reminders
- Frontend: React.js (for dashboard & mobile PWA)
- Backend: Node.js (Express) / Python (FastAPI)
- Database: Firebase Firestore / PostgreSQL
- AI NLP Services: OpenAI API, spaCy, Google NLP
- Chatbot: Dialogflow / Rasa
- Scheduling & Notifications: Google Calendar API, SendGrid (Emails)
- Hosting & Scaling: AWS Lambda / Google Cloud Functions
🔹 Problem: Data inconsistency between web & mobile hiring portals
🔹 Solution:
✅ Firebase Firestore real-time sync ensures instant updates
✅ WebSockets for bidirectional live updates
✅ Bolt’s Visual Inspector enables UI testing across devices
✅ Offline caching with PWA support for mobile hiring managers
🔹 Problem: Google Calendar API & OpenAI NLP services have strict rate limits
🔹 Solution:
✅ Queue-based processing for high-volume resume parsing
✅ Cache AI-based results to reduce unnecessary API calls
✅ Webhook-based updates instead of polling APIs
🔹 Problem: Need to identify best-performing hiring flows
🔹 Solution:
✅ A/B test chatbot question types (short Q&A vs. long responses)
✅ Analyze candidate drop-off rates per interview stage
✅ Monitor time-to-hire improvement metrics
🔹 Problem: AI might unfairly rank resumes based on biased historical data
🔹 Solution:
✅ Implement explainable AI (XAI) to show why scores were assigned
✅ Allow manual overrides for HR managers
✅ Train AI on diverse datasets to mitigate bias
✔ Resume data for AI parsing & ranking workflows
✔ Chatbot interactions for training response evaluation models
✔ Google Calendar events for scheduling automation
✔ A/B test results to optimize candidate experience
✅ AI-powered resume parsing & ranking system
✅ Candidate dashboard with filtering options
✅ Chatbot interview automation
✅ AI response scoring
✅ Google Calendar sync for scheduling
✅ Automated email notifications
🔹 Challenge: High concurrent requests slowing AI resume parsing
✅ Solution: Batch process incoming resumes, use async AI calls
🔹 Challenge: API failures for Google Calendar sync
✅ Solution: Fallback scheduling UI inside the app
✔ Commit repo with timestamp for originality proof
✔ Include MIT license to retain open rights
✔ Document product vision, execution, and API workflow
✔ Multi-Tenant SaaS for Recruitment Agencies
✔ Integration with LinkedIn & Job Boards
✔ Onboarding analytics to improve AI pre-screening accuracy
✅ All technical aspects covered (Web/Mobile Sync, Firebase, APIs, Scaling)
✅ Mitigation strategies for real-world API & AI issues
✅ Product Owner buzzwords (Agile, Scrum, CI/CD, Backlog, Roadmap, MVP)
✅ Bolt workflow feeding & automation integration
✅ Structured for GitHub publishing with README format
1️⃣ Review and tweak any final details
2️⃣ Decide on the final product name (Options: ScreenGenie, PreScreenPro, SmartMatchX)
3️⃣ Push to GitHub & start public documentation
Let me know if this fully meets your expectations or if you'd like further refinements! 🚀