Smart Placement Tracker

A Django-based web application to help students and job seekers track their DSA problems, aptitude questions, job applications, and practice with a mock interview bot.

---

🛠 Features

1. DSA Problem Tracker

• Track your DSA problem-solving progress.
• Filter by topic and status (Solved/Pending).
• Dashboard charts: Overall and topic-wise progress.

2. Aptitude Question Tracker

• Maintain a record of aptitude questions.
• Filter by topic and status (Solved/Unsolved).
• Topic-wise performance visualization.

3. Job Application Tracker

• Keep track of applications, status (Applied, Interview, Rejected, Selected), and notes.
• Add, edit, and delete applications.
• Visual status badges for quick glance.

4. Mock Interview Bot

• Conduct mock interviews:
  • HR-based
  • Technical
  • Resume-based
• Optional timer for each question.
• Interactive modal-based Q&A experience.

---

🎨 UI/UX

• Modern, responsive design using Bootstrap 5.
• Charts and dashboards for visual progress.
• Modal pop-ups and badges for better UX.

---

⚙️ Setup & Installation

1. Clone the repository

git clone https://github.com/yourusername/smart_placement.git
cd smart_placement
Create a virtual environment

bash
Copy code
python -m venv venv
source venv/bin/activate      # Linux/Mac
venv\Scripts\activate         # Windows
Install dependencies

bash
Copy code
pip install -r requirements.txt
Apply migrations

bash
Copy code
python manage.py migrate
Run the development server

bash
Copy code
python manage.py runserver
Access the app

Open your browser: http://127.0.0.1:8000/

📂 Project Structure
bash
Copy code
smart_placement/
│
├── tracker/           # Django app containing models, views, templates, static files
├── smart_placement/   # Project settings
├── db.sqlite3         # SQLite database
├── manage.py
├── requirements.txt
└── README.md
📸 Screenshots
Add screenshots of each module: DSA tracker, aptitude tracker, applications, and mock interview bot.

🔧 Future Improvements
User authentication with roles (admin/student).

Export progress reports to PDF/Excel.

Integration with external APIs for interview questions.

Enhanced scoring and analytics for mock interviews.

📄 License
This project is MIT licensed.