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  DataCoach.AI Landing Page

🚀 About the Project

🎯 What Inspired Us

As the founder of a recruitment firm that specializes in hiring Data Scientists, ML Engineers, and Analytics professionals for global companies, I've seen firsthand how even highly capable candidates often struggle to:

• Present their resumes effectively
• Understand whether they're a good match for a role
• Prepare with confidence for interviews

Most tools are either too generic or too static. They lack domain understanding or offer templated feedback. This inspired the creation of DataCoach.AI — an AI-powered resume enhancer and interview simulator designed specifically for data talent.

🧠 What We Learned

• Personalization matters: Candidates need feedback grounded in the specific role and industry.
• Most resume tools miss the "why" behind the bullet points — AI can fill that gap by asking smart follow-ups.
• Interview prep must go beyond random questions — structured, voice-based AI feedback feels more like the real thing and is more impactful.

🛠️ How We Built It

We focused on completing two fully functional modules for this hackathon:

✅ 1. Resume Analyzer

• Users upload their current resume
• AI extracts key points, identifies gaps, and recommends stronger bullet points
• Uploading a job description enables a match score and targeted recommendations to increase fit

✅ 2. Interview Coach

• Candidates choose a mock interview type (HR, Tech, Final)
• Upload or select a JD to simulate a realistic mock
• AI interviewer conducts a 5–10 minute Q&A and generates a structured feedback report

🔧 Tools Used

• Bolt – full app framework and UI
• Supabase – backend for storing resumes, JDs, and feedback reports
• RevenueCat (in progress) – to manage freemium/premium access
• Tavus (in progress) – to generate personalized video pitch summaries
• ElevenLabs (in progress) – to create voice-based AI interviews and spoken feedback

🧗‍♂️ Challenges We Faced

• Resume normalization: Handling diverse formats and structuring them for AI feedback was complex. We built a structured schema and seeded mock examples.
• Balancing UX extra features: Interview flows needed to feel dynamic yet scoped for fast feedback. Before simulating voice/video we wanted to ensure we get the Coaching UX correct.
• Scope prioritization: We focused on nailing the resume + interview flows first and queued monetization + video/voice for post-hackathon.

🔮 What's Next

We're actively working to integrate:

• 🎙️ ElevenLabs – for AI voice-driven interview experiences
• 📹 Tavus – for video resume summaries and interview feedback
• 💳 RevenueCat – to offer premium tiers with advanced editing, reports, and unlimited mocks

Beyond that, our roadmap includes:

• Support for more roles like Product, Frontend, Backend, Design
• Public resume pitch pages for outbound job applications
• A Chrome extension to instantly analyze LinkedIn job listings

DataCoach.AI is a mission-driven tool designed to help great talent show up with clarity, confidence, and conviction. We're combining AI + structured feedback + human empathy to reshape how data professionals prepare for their next big role.

Built With

• bolt
• claude
• supabase