Urgent.News

What's breaking now, across thousands of outlets.

Sunday, 4 October 2026 Reading Room

AI

InterviewBuddy AI

🤝 InterviewBuddy AI --- A Local AI Interview Partner for a Friend This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend What I Built I built InterviewBuddy AI , a beginner-friendly AI mock interview partner for a friend who is preparing for Data Analyst, Data Executive, and MIS Executive interviews . The problem was simple: finding interview questions is easy, but…

dev.to ·

InterviewBuddy AI is an innovative AI-powered mock interview partner designed to assist users in preparing for various data analyst, data executive, and MIS executive interviews. A common issue faced by users is finding reliable interview partners who are consistently available to conduct realistic interviews, ask follow-up questions, and provide valuable feedback. This is where InterviewBuddy AI steps in by transforming a user's resume into a personalized interview practice session.

To utilize InterviewBuddy AI, a user needs to follow these steps:

1. Upload their resume in TEXT, PDF, or DOCX format.

2. Choose their target job role.

3. Select an interview difficulty level.

4. Generate personalized interview questions based on the provided resume, role, and difficulty.

5. Answer the generated questions in an interactive interview session.

6. Receive AI feedback on each answer, including strengths, areas for improvement, missing points, and suggestions.

7. Review a final practice report and a concise improvement plan.

8. Store interview-session information locally using SQLite.

The core idea behind InterviewBuddy AI is not to replace a real interviewer but to provide a consistent, always-available practice partner. This allows users to practice repeatedly without the need for another person to be consistently available for each interview session. The demo video showcases the user flow, starting from resume upload, selecting a job role, generating AI-generated interview questions, answering the questions, receiving AI feedback, and finally reviewing the final practice report.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

Read the original at dev.to →

More in AI

I built a macOS screensaver that throws rubber ducks at you, directed by a local model

Mac Attack watches the room with the Mac camera, turns each person into a cartoon character, and fires harmless toy effects at them: bubbles, rubber ducks, tomatoes, confetti.

  • Developer Laya created Mac Attack, a macOS screensaver
  • Mac Attack throws rubber ducks and other harmless effects
  • Vision framework detects people to turn them into cartoon characters

·dev.to

We re-tested 69 skills on harder inputs. 16 failed. Here is what broke.

Disclosure: we make agent skills (see the end). The checklist below is ours and needs no purchase. Written with AI assistance. Every skill we ship had already passed one run on a real public input.

  • 69 skills re-tested with harder inputs
  • 16 skills failed harder input test
  • Common defects: unsure input as fact, contradictions

·dev.to

Hybrid Schematic Search in PostgreSQL with Full-Text and Vector Similarity

The Search Problem We're Really Solving If you're building any modern AI application—whether it's a RAG (Retrieval-Augmented Generation) pipeline, a semantic search engine, or an intelligent document…

  • Hybrid search merges vector embeddings with full-text search in PostgreSQL.
  • pgvector extension enables vector similarity search within PostgreSQL.
  • RRF scoring function blends rank and configurable parameter for enhanced results.

·dev.to

AI Product Quality Inspector: Helping Small Businesses Catch Product Defects

This is a submission for the "Hacktoberfest Weekend Challenge: Build for a Friend" ( https://dev.to/challenges/hacktoberfest-weekend-2026-10-01 ) What I Built I built AI Product Quality Inspector, a…

  • AI Product Quality Inspector uses computer vision for product inspection
  • Application allows users to upload images for quality assessment
  • Source code available on GitHub for community learning and improvement

·dev.to

More from Sunday 4 October →