BrutalResume

Starting page
Processing
After pasting the resume
Results_1
Results_2

Inspiration

The majority of resume feedback tools are too positive and generic, and this makes it hard for users to understand what specifically is going wrong with their resumes when they apply to a real hiring process. The inspiration for BRUTALRESUME came from the belief that accurate and high-signal feedback is much more valuable than positive feedback to job seekers facing a competitive hiring environment.

What it does

BRUTALRESUME is a program designed to mimic a no-nonsense recruiter who examines a resume in a way that mimics a real recruiter or a real screening system. With a resume supplied, it points out weaknesses, inconsistencies, unclear or unsubstantiated assertions, and credibility problems, then tells it like it is, unapologetically.

How we built it

BRUTALRESUME was constructed with the Gemini 3 API through Google AI Studio. In this case, Gemini 3 is used not as a conversational assistant but more as a structured evaluator, instructed through rigid system directives to behave like a high‑pressure recruiter. Users are able to input resume content through the interface and receive critiques that are deterministic and high‑signal.

Challenges we ran into

The main challenge was preventing the model from softening its feedback. Achieving consistently blunt yet logically grounded responses required careful prompt constraints and role enforcement.

Accomplishments that we're proud of

-Created a recruiter‑style evaluation system instead of a helper chatbot -Delivered actionable, non‑generic resume feedback -Maintained consistency across different resume styles and roles -Avoided motivational or reassuring language entirely

What we learned

-Honest feedback is more actionable than encouragement -Constraints significantly improve evaluation quality -Gemini 3 performs well in adversarial and role‑specific reasoning tasks