SkillGreen

🌱 SkillGreen Inspiration We were inspired by the urgent need to prepare individuals and organizations for the green economy. ESG careers are expanding rapidly, but there was no clear way to measure readiness or identify skill gaps. SkillGreen began as a simple ML demo and grew into a platform to empower sustainable career development.

What it does Create accounts and build professional profiles.

Run ESG readiness assessments.

Upload resumes for automated skill extraction.

Receive personalized skill‑gap analyses.

Track progress with an interactive dashboard

How we built it Backend: FastAPI + Pydantic

ML Core: scikit‑learn models

Frontend: React

NLP: TF‑IDF, CountVectorizer, stopword filtering

Challenges we ran into Designing a meaningful ESG readiness metric

Parsing diverse resume formats

Ensuring ML predictions were explainable

Integrating multiple workflows seamlessly

Accomplishments Grew from demo to full platform

Automated skill extraction across varied resumes

Built an engaging dashboard for progress tracking

What we learned User‑centric design drives adoption.

Explainability builds trust in ML tools.

Sustainability skills are multidimensional.

What's next Course and workshop integrations

Benchmarking tools for organizations

Enhanced NLP for deeper insights

Built With

• api
• countvectorizer
• css3
• docker
• fastapi
• github
• html5
• javascript
• json
• material-ui
• matplotlib
• natural-language-processing
• node.js
• numpy
• pandas
• postgresql
• pydantic
• python
• react
• rest
• scikit-learn
• seaborn
• sqlite
• stopwords
• tf-idf