CareerConnect-Smart-Campus-Placement-Portal

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CareerConnect-Smart-Campus-Placement-Portal

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CareerConnect is an AI-powered campus placement portal that helps students prepare for jobs through smart aptitude and coding tests, mock interviews, resume analysis, and more — all monitored with face recognition-based proctoring. Designed to assist students, TPOs, and companies for seamless hiring and tracking.

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# 🎓 CareerConnect – Smart Campus Placement Portal

CareerConnect is an integrated **AI-powered platform** designed to streamline and elevate the campus placement experience for **students**, **training and placement officers (TPOs)**, and **recruiters**.

It features advanced modules for **resume building**, **aptitude & technical tests**, **AI-proctored interviews**, and **performance analytics**, making students industry-ready and boosting placement outcomes.

> ⚠️ Note: The repository structure may seem a bit disorganized, but running each component step-by-step as shown below will successfully launch the full project.

[![GitHub license](https://img.shields.io/github/license/xHarshit/CareerConnect-Smart-Campus-Placement-Portal)](https://github.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/blob/main/LICENSE)
[![GitHub issues](https://img.shields.io/github/issues/xHarshit/CareerConnect-Smart-Campus-Placement-Portal)](https://github.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/issues)
[![GitHub stars](https://img.shields.io/github/stars/xHarshit/CareerConnect-Smart-Campus-Placement-Portal)](https://github.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/stargazers)

---

## 🚀 Features

### 👨‍🎓 Student Portal

- **📊 Aptitude Test**  
  Timed logical reasoning tests with automatic scoring and face recognition-based proctoring.

- **📈 Aptitude Analysis Dashboard**  
  Topic-wise performance visualizations including accuracy, speed, and strength analysis.

- **💻 DSA Coding Test**  
  Real-time coding environment with question tracking and attempt logging.

- **📉 DSA Performance Dashboard**  
  Monitor scores, improvement history, and accuracy for each coding attempt.

- **🎙️ AI-Proctored Mock Interviews**  
  Real-time webcam-based interviews with attention tracking and expression monitoring.

- **🧾 Resume Builder**  
  Create and download structured, professional resumes.

- **📄 Resume ATS Scoring**  
  Get resume scores based on ATS keyword compatibility.

- **📢 Announcements**  
  View placement updates and notifications from TPOs.

- **🙍 Student Profile**  
  Manage academic/personal info and view individual test/interview performance.

---

### 🧑‍🏫 TPO & Company Dashboard

- 📊 Monitor student readiness with analytics  
- 📋 Post jobs, internships, or announcements  
- 📈 Export reports on aptitude, coding, and interview performance

---

## 🧠 Tech Stack

| Layer         | Technologies                                           |
|---------------|--------------------------------------------------------|
| **Frontend**  | HTML, CSS, Streamlit                                  |
| **Backend**   | Node.js, Python                                       |
| **ML/AI**     | OpenCV, TensorFlow, scikit-learn, face_recognition    |
| **Database**  | MongoDB                                               |

![HTML5](https://img.shields.io/badge/HTML5-E34F26?style=for-the-badge&logo=html5&logoColor=white)
![CSS3](https://img.shields.io/badge/CSS3-1572B6?style=for-the-badge&logo=css3&logoColor=white)
![Streamlit](https://img.shields.io/badge/Streamlit-FF4B4B?style=for-the-badge&logo=streamlit&logoColor=white)
![Node.js](https://img.shields.io/badge/Node.js-339933?style=for-the-badge&logo=nodedotjs&logoColor=white)
![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)
![OpenCV](https://img.shields.io/badge/OpenCV-5C3EE8?style=for-the-badge&logo=opencv&logoColor=white)
![TensorFlow](https://img.shields.io/badge/TensorFlow-FF6F00?style=for-the-badge&logo=tensorflow&logoColor=white)
![scikit-learn](https://img.shields.io/badge/scikit--learn-F7931E?style=for-the-badge&logo=scikit-learn&logoColor=white)
![face_recognition](https://img.shields.io/badge/Face_Recognition-0A192F?style=for-the-badge&logo=python&logoColor=white)
![MongoDB](https://img.shields.io/badge/MongoDB-4EA94B?style=for-the-badge&logo=mongodb&logoColor=white)

---

## 🛡️ AI Face Recognition Proctoring

- Real-time webcam face detection and tracking  
- Alerts for multiple faces or user looking away  
- Facial expression analysis during mock interviews

---

## 🖼️ Screenshots

| Screenshot | Description                        |
|------------|------------------------------------|
| ![Screenshot 1](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/homepage.png) | 1. Website Homepage                |
| ![Screenshot 2](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/studentdashboard.png) | 2. Student Dashboard               |
| ![Screenshot 3](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/aptitudetest.png) | 3. Aptitude Test with Face Recognition |
| ![Screenshot 4](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/aptitudeanalysis.png) | 4. Aptitude Analysis               |
| ![Screenshot 5](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/dsatest.png) | 5. Technical Coding Test           |
| ![Screenshot 6](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/mockinterview.png) | 6. Proctored Mock Interview     |
| ![Screenshot 7](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/resumebuilder.png) | 7. Resume Builder                  |
| ![Screenshot 8](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/resumescanner.png) | 8. Resume ATS Result               |
| ![Screenshot 9](https://raw.githubusercontent.com/xHarshit/CareerConnect-Smart-Campus-Placement-Portal/main/screenshots/admindashboard.png) | 9. Company / Admin Dashboard         |

---

## 🛠️ How to Run Locally

### Prerequisites

Before running the project, make sure the following are installed and set up on your system:

- ✅ MongoDB installed and running  
  → [Download MongoDB](https://www.mongodb.com/try/download/community)

- ✅ Node.js installed  
  → [Download Node.js](https://nodejs.org/en/download/)

---

## 🔐 API Configuration

To enable AI-powered features such as interview feedback and resume scoring using Gemini AI, you'll need to set up your Gemini API Key.

1. Get your Gemini API Key:
   - Visit: https://aistudio.google.com/app/apikey
   - Sign in with your Google account and generate a new API key.

2. Add the API key to the respective .env files:

📁 MockInter/.env
📁 ResumeATS/.env

GEMINI_API_KEY=your_api_key_here

⚠️ Make sure to replace your_api_key_here with your actual API key. Do not share this key publicly.

3. Restart the modules (MockInterview & ResumeATS) after setting the environment variables.

---

### Steps

1. **Clone the repository**

```bash
git clone https://github.com/your-username/CareerConnect.git
cd CareerConnect
```

2. **Start the Node.js server**

```bash
node server.js
```

3. **Run each Streamlit module in a new terminal:**

```bash
# Aptitude Test
cd Aptitude
streamlit run AptiApp.py

# Aptitude Dashboard
streamlit run InteractiveDashboard.py

# DSA Test
cd ../CodingPract
streamlit run DSA_app_db.py

# DSA Dashboard
streamlit run DSA_dash.py

# Mock Interview
cd ../MockInter
streamlit run app.py

# Resume Builder & ATS
cd ../ResumeATS
streamlit run app.py
```

4. **Launch the frontend**

Open `index.html` in a browser.

---

## 📈 Future Enhancements

- Add support for regional languages  
- Gamified tests with leaderboards  
- Real-time placement drive tracking  
- Admin dashboard with downloadable reports  
- SMS/Email notification integration  
- Mobile-friendly responsive design

---

## 🪪 License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

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