This is a submission for the Hacktoberfest Weekend Challenge: Build for a Friend
What I Built
Job searching often means rewriting the same resume repeatedly for different positions, trying to understand ATS systems, and spending hours crafting cover letters.
To solve that problem, I built MAZ3R, an AI-powered platform that helps users:
- Upload a resume (PDF or DOCX)
- Paste a job description
- Analyze ATS compatibility
- Identify missing skills and keywords
- Receive resume improvement recommendations
- Generate a customized cover letter
- Export reports and application documents
The project was designed for students, interns, fresh graduates, and job seekers who want to improve their applications without manually tailoring every document from scratch.
Demo
🔗 Live Demo: Coming Soon
📹 Video Demo: Coming Soon
Code
🔗 GitHub Repository: https://github.com/gene707/HacktoberFest-2026
How I Built It
MAZ3R is built around open-source AI technologies.
AI Stack
- Qwen 2.5 1.5B Instruct
- Sentence Transformers
- all-MiniLM-L6-v2 Embeddings
- Hugging Face Inference API
Backend
- Flask
- SQLite
- PDF Processing
- DOCX Processing
Frontend
- HTML
- CSS
- Vanilla JavaScript
Core Workflow
- User uploads a resume.
- Resume text is extracted and processed.
- ATS analysis compares the resume against the target job description.
- Semantic similarity scoring evaluates alignment between
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