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Placement Readiness Challenge – Quantitative Aptitude & Logical Reasoning

unstopHosted on Unstop

Fetched about 2 hours ago

Friday, July 17, 2026

to Monday, July 27, 2026

•

1 week long

Student only
This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.

Event Type

online

486

Participants

43

Est. Projects

Placement Readiness Challenge – Aptitude Edition Build your aptitude skills, benchmark your preparation, and understand where you stand before your placement season begins. This FREE 3-Day online challenge is designed to simulate placement-style aptitude assessments and help you become more confident for upcoming campus recruitment drives. Why Participate? Practice placement-style aptitude questions Evaluate your current preparation level Compete with students from across campuses Benchmark your performance Improve your placement readiness What You'll Get: Free access to the complete 3-Day Challenge Placement Guide featuring hiring insights from 20+ leading companies Free Mentorship Programme Access to Winners. Top 7 performers will receive a Certificate of Appreciation Top 3 performers will receive a Special Certificate of Excellence The Top Performer will get an exclusive interaction with the Founder of UnsaidTalks Challenge Details: Duration: 3 Days Mode: Online Registration Fee: Free Eligibility: Engineering Students & Fresh Graduates Community Group: Join the official challenge community here for updates, announcements, reminders, and discussions. Challenge yourself. Measure your progress. Get Placement Ready.

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • • Hosted by a university
  • • Open to students
  • • MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct