Scholarships, colleges, internships, and jobs are scattered across hundreds of sources. Eklavya keeps them in one structured, tagged database so the matching engine — and you — can actually search and compare them.
Every entry carries structured eligibility criteria (age range, education level, career track, minimum academic score, location) rather than just a text description — which is what makes automated, individualized matching possible in the first place.
Platform administrators add and edit entries directly, with every change logged for accountability.
Larger batches of opportunities can be imported from CSV or JSON files, so growing the dataset doesn't mean entering hundreds of records one at a time.
Each entry's deadline feeds directly into your recommendation ranking — opportunities closing soon are surfaced with appropriate urgency.
Expired or withdrawn opportunities are deactivated rather than deleted, preserving a clean audit trail of what was ever listed.
Build your profile and the matching engine filters the database down to what's actually relevant.
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