Thesis Search System

This Senior project is a theses search system for Computer Science students. It provides functionalities like document indexing, TF-IDF-based search, and user account management. Go to Frontend Link Here!.

System Scope

1. Searching

• Simple Search: String Matching.
• Advanced Search: TF-IDF (Term Frequency-Inverse Document Frequency) based search.

2. Indexing

• Parsing: Extracts text from document files.
• Tokenization: Splits text into tokens (words/phrases).
• Stop Word Removal: Removes unnecessary words and whitespace.

3. Scoring

• Term Frequency (TF): Measures word frequency within a document.
• Inverse Document Frequency (IDF): Measures word importance across all documents.
• TF-IDF: Calculates word importance for search.

4. Ranking

Results are ranked based on their TF-IDF scores to provide the most relevant results to the user.

5. User Account Management

• Sign-up
• Log-in/Log-out
• Edit Profile
• Change Password
• Reset Password

Tech Stack - Backend

Installation

1. Clone the repository:

   git clone https://github.com/mskerz/thesis_search_backend.git
   cd thesis_search_backend
   

2. Create and activate a virtual environment (isolating dependencies within the project):
   • For Window

     python -m venv venv
     venv\Scripts\activate
     

   • For Linux/MacOS:

     python3 -m venv venv
     source venv/bin/activate

3. Install dependencies (these will be installed in the virtual environment):

   pip install -r requirements.txt
   

4. Run the server:

   uvicorn main:app --reload