Professor Overview Website

Project Overview

The Professor Overview Website is designed to help first-year engineering students make informed decisions about their courses and professors. Organized by course, this platform provides a holistic rating for professors, considering multiple factors such as the date reviews were posted and common sentiments expressed by students. Additionally, it offers an AI-powered feature that allows students to upload their course syllabus to extract key information like important dates, guidelines, and submission policies.

Features

1. Professor Ratings by Course

• Holistic ratings that take into account:
  • Date of reviews
  • Common sentiments from student feedback
• Short summaries of what students typically say about the professor.

2. AI-Powered Syllabus Summarization

• Upload a course syllabus to:
  • Extract important dates (e.g., assignment deadlines, exam schedules).
  • Summarize submission guidelines and course policies.

3. User-Friendly Interface

• Simple and intuitive navigation for first-year students.
• Organized information by course for quick access.

Technology Stack

• Backend: Python Flask
• Frontend: React
• AI Integration: NLP models for summarization

Getting Started

Prerequisites

• Python 3.x
• Flask
• Node.js and npm

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/professor-overview.git
   cd professor-overview

2. Set up the backend:

   cd backend
   pip install -r requirements.txt

3. Set up the frontend:

   cd ../frontend
   npm install

4. Run the backend server:

   cd ../backend
   python3 app.py

5. Run the frontend server:

   cd ../frontend
   npm start

Usage

1. Visit http://localhost:3000 to access the platform.
2. Browse professor ratings organized by course.
3. Upload a syllabus to extract and summarize key details.