Smart Placement Tracker 🚀

A full-stack Django-based web application designed to help students and job seekers streamline their placement preparation.

Track *DSA problems, **aptitude questions, **job applications, and practice interviews with an interactive *mock interview bot. Features dashboards with charts for progress visualization.

Perfect for managing end-to-end placement activities — built with scalable backend architecture and responsive UI.

🌟 Key Features

1. DSA Problem Tracker

• Log and track DSA problems with topic-wise filtering.
• Mark status (Solved/Pending).
• Interactive dashboards with overall and topic-wise progress charts.

2. Aptitude Question Tracker

• Record aptitude questions by topic.
• Track solved/unsolved status.
• Visual performance analytics.

3. Job Application Tracker

• Manage applications with details (company, role, status: Applied/Interview/Rejected/Selected).
• Add notes and deadlines.
• Status badges for quick overview.

4. Mock Interview Bot

• Practice interviews: HR, Technical, or Resume-based.
• Optional timer per question.
• Modal-based interactive Q&A experience.

🛠 Tech Stack

• Backend: Django (Python), REST framework basics
• Database: SQLite (with optimized models)
• Frontend: Bootstrap 5, HTML/CSS, JavaScript for interactivity
• Charts: Integrated visualizations for analytics
• Version Control: Git

📸 Screenshots

• Dashboard Overview:
• DSA Tracker:
• Job Applications:
• Mock Interview Bot:

🚀 Setup & Installation

1. Clone the repo:

   git clone https://github.com/ABH1516/smart_placement.git
   cd smart_placement

2.Create virtual environment:

python -m venv venv
source venv/bin/activate  # Linux/Mac
# or venv\Scripts\activate  # Windows

3.Install dependencies:

pip install -r requirements.txt

4.Apply migrations:

python manage.py migrate

5.Run server:

python manage.py runserver

6.Access at: http://127.0.0.1:8000/

📂 Project Structure smart_placement/ ├── tracker/ # Main Django app (models, views, templates, static) ├── smart_placement/ # Project settings ├── manage.py ├── requirements.txt └── db.sqlite3

🔮 Future Improvements

1.User authentication and multi-user support. 2.Export reports to PDF/Excel. 3.Integrate external APIs for real interview questions. 4.Advanced analytics and scoring for mocks.

📄 License MIT License — free to use and modify!