workob in
A-starTurns a job seeker’s short voice note into a structured profile, explains which jobs and apprenticeships they qualify for and why, and drafts a bilingual resume.
What should I learn next?
A short learner intake — skills, interests, English comfort and goals — mapped offline to an ordered path of free resources, with a small project at each step.
The problem
A self-directed learner in Bhopal cannot determine what to learn next, in what order, or toward what realistic outcome. Content is abundant; sequencing, feedback and local relevance are absent.
How it works
The most significant aspect of the solution is deep, structured data collection about the learner in under five minutes, mapped to a learning path entirely offline, with no live computation required.
The intake form is sticky (progress indicator and navigation stay in reach while scrolling) and uses linear-scale inputs for the two self-scored competence readings — English language comfort and general tech familiarity — alongside explicit skill/interest selection and goal-setting, so the profile feeding the path-mapping step is rich enough to place the learner accurately on the first pass.
The resulting short, ordered learning path is assembled from free resources, with a small verifiable project at each step and an explicit link from the path to the kinds of work it leads to, locally or remotely.
The tool functions on a phone, maps the form's inputs to a learning path fully offline once loaded, and adapts as the learner reports progress.
Built with
As stated by the team.
I built it with Perplexity for research, Gemini for Job Listing Scrapings, V0 for UI, Claude for Planning and Development.
How Claude was used
In the team’s own words, from their submission.
I built it with Perplexity for research, Gemini for Job Listing Scrapings, V0 for UI, Claude for Planning and Development.
Team
X8 Studio
Individual builders are not listed yet — names are published only with their permission.