Difficulties in tracking employment outcomes,skill gaps, and the impact of skilling initiatives
Government Of Maharashtra
Bold. Let us find out precisely how bold, in the order a panel will find out.
Proceed with caution. The hard part here is getting people to respond years later, which is not a software problem — you would be building analytics over data you invented, so take SIH26134 instead where the demand signal is genuinely real. It is also forecast to fill the 500-idea cap, so you are not only competing, you are queuing.
The receipts
Every red flag on this statement, in full. These are the four places it bites.
Exhibit A
The stated central difficulty is that trainees become uncontactable and employers do not report, and this is an incentive and outreach problem that no amount of software design solves
It gets worse
No real longitudinal outcome data exists, so your analytics run entirely on data you generated and reveal only the patterns you encoded
Still reading?
Employer validation requires an independent signal to validate against, and the description does not name one that is actually accessible
And the finisher
It overlaps SIH26134 from the same state closely enough that a judge may treat them as one problem
The damage report
Every score this statement earned, and what each one actually costs you.
Feasibility
4/5Actually buildable, which on this slate is rarer than it sounds. Do not squander it on scope.
Consent records, follow-up scheduling, multi-channel contact and cohort analytics are all standard engineering, though the longitudinal data itself must be synthesised since no real outcome dataset is available.
Innovation scope
3/5Mildly interesting. The novelty will not carry the room; the build has to.
The description enumerates the expected components, so your genuine room is in the follow-up strategy that survives contact loss and in how you validate an employer's claim against independent evidence.
Clarity
3/5Clear enough to start, vague enough to drift. Write the scope down and stop reinterpreting it weekly.
The capabilities are listed clearly and the privacy constraint is stated, but no programme, cohort size or outcome definition is specified, and definitions are precisely what the description says vary across programmes.
Acceptance potential
2/5The numbers do not like you. Bring something the numbers cannot see.
The core difficulty the description names — trainees becoming uncontactable and employers not reporting — is a human incentive problem that no software feature solves, so a platform built on longitudinal data you synthesised demonstrates dashboards rather than the tracking that is actually hard.
Effort
HeavyHeavy. Somebody on this team is not sleeping in week three. Pick who, on purpose.
Consent management, identifier resolution, multi-channel follow-up, employer validation and cohort analytics is five components, all conventional but collectively substantial.
Demo-ability
MediumDemoable, if you rehearse it. Nobody rehearses it.
The retention-collapse finding is a genuinely arresting result, but it comes from data you generated, so the demo shows an analytical capability rather than a discovery.
Data
None suppliedNo dataset comes with this one, so every accuracy figure you quote is a number about labels you invented.
Nothing is provided with the statement. You are sourcing, cleaning and labelling it yourself, and that work is invisible in the demo but very visible in the questions.
The demo they will have already seen
Enough teams are heading here to fill the 500-idea cap before entry even closes, and the description is doing the choosing for most of them. They will read the same brief, reach the same architecture, and build a version of the same demo you are planning. Being correct is the floor. If your five minutes could be swapped with the team before you and nobody in the room would notice, you have not picked badly — you have built predictably, which costs exactly the same and hurts more.
What survives
The ground worth standing on when the questions start.
- Distinguishing day-ninety placement from day-three-hundred-sixty-five retention is a genuinely important analytical distinction that exposes provider quality and is easy to visualise
- The consent and revocation layer is real, buildable substance and directly answers the privacy constraint the description raises
- Capturing self-employment outcomes, which formal payroll signals miss entirely, addresses a real blind spot in Indian skilling measurement
None of that means do not pick it. It means do not walk into that room having heard any of this for the first time from a judge.
The framing is a joke. The findings are not — they are the same analysis on the statement page, and every line above is attached to a score or a fact in the record. It is one opinion with its reasoning attached, so argue with it before you trust it.