🚀 ZPrep AI Streamlit

AI-powered interview preparation platform that generates personalized interview questions from resumes and provides AI-based mock interview evaluation using Google Gemini API.

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📌 Overview

ZPrep AI Streamlit helps students and job seekers prepare for interviews by analyzing their resumes and generating customized:

• HR Questions
• Technical Questions
• Project Questions

It also includes a mock interview mode where users can answer questions and receive AI-powered feedback, strengths, weaknesses, and improved answers.

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✨ Features

📄 Resume Analysis

• Upload PDF resumes
• Extract resume text using PyPDF2
• Generate personalized interview questions

👨‍💼 HR Questions

Generate questions related to:

• Career goals
• Strengths and weaknesses
• Teamwork and leadership
• Communication skills

💻 Technical Questions

Generate questions based on:

• Programming languages
• Databases
• Frameworks
• Core subjects
• DSA concepts

📚 Project Questions

Generate questions about:

• Projects mentioned in the resume
• Design choices
• Challenges faced
• Technologies used

🎤 Mock Interview Mode

• Choose a generated question
• Enter your answer
• Receive AI-powered evaluation

⭐ AI Answer Evaluation

Provides:

• Feedback
• Strengths
• Weaknesses
• Improved answer suggestions

🔄 Dynamic Interface

• Tab-based navigation
• Session state management
• Dynamic question selection

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🛠 Tech Stack

Frontend

• Streamlit

Backend

• Python

AI

• Google Gemini API

Resume Parsing

• PyPDF2

Environment Variables

• python-dotenv

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📂 Project Structure

zprep-ai-streamlit/
│
├── app.py
├── question_generator.py
├── feedback_generator.py
├── resume_parser.py
├── requirements.txt
├── .gitignore
├── .env
├── temp_resume.pdf
│
├── images/
│   ├── home.png
│   ├── hr.png
│   ├── technical.png
│   ├── projects.png
│   ├── mock_interview.png
│   └── evaluation.png
│
└── __pycache__/

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⚙️ Installation

Clone the repository

git clone https://github.com/nissib8/zprep-ai-streamlit.git
cd zprep-ai-streamlit

Create virtual environment

python -m venv venv

Activate environment

Windows

venv\Scripts\activate

Linux / Mac

source venv/bin/activate

Install dependencies

pip install -r requirements.txt

Create .env

GEMINI_API_KEY=your_api_key_here

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▶️ Run Application

streamlit run app.py

Application runs at:

http://localhost:8501

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📷 Screenshots

..check the images folder

Home Page

HR Questions

Technical Questions

Project Questions

Mock Interview

AI Evaluation

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🧠 Architecture

Resume Upload
       │
       ▼
Resume Parser
(PyPDF2)
       │
       ▼
Gemini API
Question Generator
       │
       ▼
Structured Questions
(HR / Technical / Projects)
       │
       ▼
Mock Interview Mode
       │
       ▼
Answer Evaluation
       │
       ▼
AI Feedback

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📋 Modules

app.py

Main Streamlit interface.

resume_parser.py

Extracts text from uploaded PDFs.

question_generator.py

Generates structured interview questions using Gemini API.

feedback_generator.py

Evaluates answers and provides AI-generated feedback.

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🚀 Future Enhancements

• 📊 Dashboard
• ⭐ Score Extraction
• 📄 Download PDF Report
• 💾 SQLite History
• 🎙 Voice Interview
• 🌙 Themes
• 🎯 Difficulty Levels
• 🧠 DSA Mode
• 🏢 Company-Specific Questions
• 📈 Performance Tracking

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👩‍💻 Author

Nissi Mylabathula

Final Year B.Tech CSE Student

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🌟 Support

If you found this project useful, please consider giving it a ⭐ on GitHub!

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Built with ❤️ using Python, Streamlit and Google Gemini API.