Upload a resume to get an objective score with specific suggestions for improvement.
Generate an ATS-optimized version of your resume automatically.
Practice for interviews with personalized questions and a live mock interview with feedback.
Ask an AI chat questions about your own career that are grounded in your actual resume.
| arsalankaleem/aestimo | abhishek-kumar09/mini_project1 | jhass/doorlock | |
|---|---|---|---|
| Stars | 1 | 1 | 1 |
| Language | Dart | Dart | Dart |
| Last pushed | — | 2020-01-30 | 2026-06-08 |
| Maintenance | — | Dormant | Maintained |
| Setup difficulty | — | moderate | moderate |
| Complexity | — | 1/5 | 3/5 |
| Audience | general | vibe coder | general |
Figures from each repo's GitHub metadata at analysis time.
Aestimo is an AI-powered career assistant app built with Flutter. You upload your resume as a PDF and it turns that single document into a set of tools meant to help you land a job, including a score for your resume with specific suggestions for improving it, a version rewritten to pass automated applicant tracking systems, tailored cover letters, personalized interview questions, and a chat feature where every answer is based specifically on your own background rather than generic career advice. The app reads and understands the resume using Google Gemini, an AI model from Google, and there is no manual data entry required beyond uploading the file. It also includes a job matching feature that ranks live job listings against your resume, and an interactive mock interview mode that gives feedback as you practice. Sign-in is handled through Firebase Authentication with email and password. Aestimo runs on Android, Windows, and in a web browser from the same codebase, since it is built with Flutter, a cross-platform app framework. The web version can be tried instantly with no installation, while the Windows and Android versions are downloaded from the project's releases page as an installer or app file. Because those builds are not digitally signed, Windows and Android may show a warning on first install, which the README says is expected and can be bypassed by choosing to run or install anyway. Under the hood, the app is organized so that each feature, such as the resume upload, chat, or interview prep sections, keeps its own data handling and screen code separate from the others, which the README describes as making the app easier to extend over time. It uses a state management library called Riverpod, a routing library called GoRouter, and Firebase for both authentication and hosting the web version. The project is released under the MIT license.
A Flutter app that turns an uploaded resume into AI-powered career tools, including a resume score, cover letters, interview prep, and job matching.
Mainly Dart. The stack also includes Flutter, Dart, Google Gemini.
Mainly general.
This repo across BitVibe Labs
double-check against the repo, no cap.