83 million jobs will be eliminated in the next five years. ReSkillio deconstructs your entire career history, maps your transferable skills to in-demand roles, and delivers a personalized reskilling roadmap — in one API call.
The traditional approach of relying on outdated resumes and generic job boards is no longer effective. Millions face career uncertainty without a clear, data-driven path forward.
Job displacement is not just a future possibility — it is already happening and is expected to accelerate dramatically. The need for a platform that helps people identify their transferable skills and navigate this transition is not just a good idea — it is a critical necessity.
The displacement will not be evenly distributed. Jobs most susceptible to automation involve repetitive, predictable, and routine tasks. Yet the people in those roles carry real, transferable skills that current tools fail to surface.
ReSkillio's answer: move beyond job titles and academic degrees. Focus on the core, transferable skills built throughout an entire career — and map them to where they're needed most.
AI automates scheduling, data management, and communication
50% workforce reduction in call centers projected by 2035
2M manufacturing workers displaced by AI by 2025 (MIT/BU)
Automated trading, fraud detection, and bookkeeping put roles at risk
Autonomous vehicles projected to displace commercial driving roles
E-commerce, self-checkout, and AI inventory management eroding roles
Three core concepts, delivered as a unified AI platform that acts as a personalized career advisor — providing objective, data-driven insights and a clear action plan.
Use advanced AI to analyze a person's complete work history, identifying hidden skills and professional traits that job titles alone never reveal.
Apply a dynamic market analysis engine to map identified skills to emerging, in-demand careers across 8 industries — finding the roles where you're already most competitive.
Generate a personalized, actionable plan — specific courses, certifications, and resources — to bridge skill gaps and successfully transition into a new, stable career.
Upload a resume. Get back a complete career intelligence report. Each stage is fail-safe — a downstream failure never blocks results already produced.
spaCy PhraseMatcher + Named Entity Recognition pulls 200+ skills from resume text, categorizes them (technical, soft, domain, tool, certification), and persists a timestamped candidate profile to BigQuery.
Exact match plus semantic similarity via Vertex AI embeddings. Surfaces transferable skills (Luigi → Airflow, similarity 0.81) that keyword matching misses. Gap score 0–100 with human-readable recommendation.
BQML cosine distance computed directly in BigQuery against 8 pre-built industry centroid vectors — Data & AI, FinTech, HealthTech, Cloud/DevOps, Cybersecurity, eCommerce, Software Engineering, Product Management. Ranked fit scores, no Python round-trip.
A 3-sentence, second-person career story generated by Gemini 2.5 Flash. Grounded exclusively in retrieved facts from BigQuery — top skills, industry overlap, JD titles — with a system prompt that prevents hallucination.
A CrewAI two-agent crew: a Researcher searches Coursera, Udemy, and YouTube for real courses (via DuckDuckGo — no API keys), and a Planner synthesizes the research into a phased 90-day roadmap with weekly hours, milestones, and success metrics.
Instead of a single score, ReSkillio shows exactly how your skills align with the unique demands, trends, and values of each industry. It's a powerful tool for focusing a job search on where skills are most competitive.
The POST /analyze endpoint returns all five stages with per-stage timing so you can see exactly what ran and how long it took.
{
"candidate_id": "demo-001",
"target_role": "Senior Data Engineer",
"skill_count": 47,
"top_skills": [
{ "name": "Python", "category": "technical", "confidence": 0.97 },
{ "name": "BigQuery", "category": "tool", "confidence": 0.95 },
{ "name": "Spark", "category": "tool", "confidence": 0.90 }
],
"gap": {
"gap_score": 72.4,
"matched_skills": ["Python", "SQL", "BigQuery", "Spark", "dbt"],
"missing_skills": ["Kafka", "Terraform"],
"transferable_skills": [
{ "jd_skill": "Airflow", "candidate_skill": "Luigi", "similarity": 0.81 }
],
"recommendation": "Strong match. Bridge Kafka and Terraform to close remaining gaps."
},
"industry_match": {
"top_industry": "data_ai",
"top_industry_label": "Data & AI",
"scores": [
{ "rank": 1, "industry": "data_ai", "match_score": 88.3 },
{ "rank": 2, "industry": "cloud_devops", "match_score": 74.1 }
]
},
"narrative": "A data-first engineer with a strong foundation in Python, BigQuery,
and Spark, your transferable workflow orchestration experience positions you
well for this role. Rounding out Kafka and Terraform would make you a
top candidate for Senior Data Engineer roles in Data & AI teams.",
"stages": {
"extract": { "success": true, "duration_ms": 342 },
"gap": { "success": true, "duration_ms": 1820 },
"industry": { "success": true, "duration_ms": 510 },
"narrative": { "success": true, "duration_ms": 3102 },
"pathway": { "success": true, "duration_ms": 0, "error": "skipped" }
},
"total_duration_ms": 5892
}
The Candidate Skills Assessment Market alone is projected to exceed $7 billion by 2032. The shift to a skills-based economy is creating urgent demand for a unified, end-to-end solution that doesn't exist yet.
The AI in HR market is growing from multi-billion to tens of billions. Skills assessment CAGR is accelerating as companies replace credential-based hiring with competency-based evaluation.
The traditional focus on degrees and job titles is being replaced by a focus on skills. This creates powerful demand for platforms that can accurately and dynamically assess transferable capabilities.
The global shift to hybrid work made traditional talent assessment unscalable. AI-powered platforms provide objective, location-agnostic skill evaluation at enterprise scale.
The market is moving beyond technical assessment. The ability to infer professional traits — leadership, adaptability, resilience — from career history addresses a major recruiter pain point.
Significant venture capital is flowing into HR tech, workforce intelligence, and career pathing. Companies solving talent acquisition, upskilling, and analytics are prime investment targets.
Major HR tech companies (Workday, LinkedIn, Oracle) are acquiring skill-matching and career pathing technology. ReSkillio's proprietary dataset and GCP architecture is an attractive integration target.
Most platforms specialize in one or two areas. There is no single, seamless, end-to-end solution for a person who has just been displaced — until now.
| Capability | Skills Assessment (Glider AI, Vervoe) |
Learning Platforms (Multiverse, Disco) |
Internal Mobility (Gloat) |
ReSkillio |
|---|---|---|---|---|
| AI skill extraction from resume | Partial | ✗ | Partial | ✓ |
| Transferable skill detection | ✗ | ✗ | ✗ | ✓ |
| Industry-specific match scores | ✗ | ✗ | Partial | ✓ |
| Personalized learning roadmap | ✗ | ✓ | Partial | ✓ |
| Real-time market demand analysis | ✗ | ✗ | ✗ | ✓ |
| AI-written career narrative | ✗ | ✗ | ✗ | ✓ |
| Accessible to general public | ✓ | ✓ | ✗ | ✓ |
| Open API for integration | Limited | ✗ | ✗ | ✓ |
Upload a resume and get a complete career intelligence report. No configuration needed beyond a GCP project ID.