ResumePilot AI is an advanced, intelligent career advancement suite engineered to help job seekers bypass rigid corporate automated Applicant Tracking Systems (ATS). Powered by the high-speed Google Gemini API (gemini-2.5-flash), this application performs deep semantic parsing to grade resumes, reveal critical keyword gaps, compare profiles across multiple job roles simultaneously, and generate role-specific career materials.
- 📊 Multi-Format Ingestion: Seamless text extraction from
.pdf,.docx, and.txtfiles using robust programmatic parsers. - 🎯 ATS Compatibility Scoring & Analytics: Features a custom mathematical matching engine backed by interactive Plotly Express keyword density charts.
- 📈 Multi-Job Comparative Benchmarking: Paste up to 3 separate job descriptions simultaneously to see which corporate profile targets your resume fits best.
- 🔍 Granular Gap Detection: Isolates missing technical skills, critical contextual industry phrases, and structural layout bottlenecks.
- ✍️ Dynamic Resume Rewriting: Provides targeted summary overhauls and converts weak history text into high-impact, keyword-optimized bullet points.
- 🧠 Automated AI Career Coaching: Formulates a strategic professional development layout alongside a tailored interview preparation simulator with high-scoring answers.
- ✉️ Tailored Cover Letter Generator: Automatically compiles a customized, compelling 3-4 paragraph cover letter matched exactly to the core requirements of your primary target role.
- 📄 Executive Summary Export: Generates on-demand, downloadable PDF summary evaluation forms using
ReportLab.
- Frontend UI Framework: Streamlit (Dynamic, responsive web runtime configuration)
- AI Orchestration Core: Google Generative AI Engine (
gemini-2.5-flashmodel via Google Cloud authorization service layers) - Data Analytics & Charts: Pandas & Plotly Express
- Document Parsers:
pdfplumber(PDF layout text extraction) &python-docx(Microsoft Word parsing) - Document Generation Engine:
reportlab(Dynamic PDF generator layout compilation)
ResumePilot-AI/
├── .streamlit/
│ └── config.toml # Streamlit custom interface theme options
├── app.py # Main Application Entrypoint & Pipeline Core
├── requirements.txt # Production Dependency Modules
├── LICENSE # Open-source MIT License terms
└── README.md # Technical documentation handbook