Ingestion
Capture three or more explicit skills and optional career-goal context.
AI recommendation logic
Find the tech role that aligns with your current stack.
Select at least three skills. The engine maps your profile into a shared TF-IDF vector space, calculates cosine similarity, and returns the three closest career paths.
Runs in your browser
No account required
Explainable ranking
Input
Python · Cloud · Automation
TF-IDF + cosine
Top match
DevOps Engineer
—career profiles
—shared features
3ranked recommendations
100%local processing
Input → process → output
Build your preference vector
The minimum of three inputs prevents a sparse cold-start profile and gives the similarity engine enough evidence to rank roles meaningfully.
Output
Your ranked career matches will appear here.
Select three or more skills, add optional career context, and run the recommendation engine.
Output
Your ranked career matches will appear here.
Select three or more skills, add optional career context, and run the recommendation engine.
Four-step ranking pipeline
Transparent logic, not random suggestions
Every result follows the same deterministic content-based process.
Scoring
Apply TF-IDF weights and calculate cosine similarity against every role profile.
Sorting
Order roles from highest to lowest angular alignment using stable tie-breakers.
Filtering
Return only the top three roles to reduce choice overload and keep the output actionable.
Model transparency
What the similarity score actually means
Each role is represented by weighted skill, tool, and career-goal features. TF-IDF rewards distinctive features and reduces the influence of common terms. Cosine similarity then measures profile direction rather than raw vector magnitude.
cos(θ)
A · B
||A|| ||B||
0 = no shared direction · 1 = perfect alignment