An Intelligent Book Recommendation System
A modern, full-featured book recommendation platform built with Django and Machine Learning. SynthBook helps readers discover their next favorite book through personalized recommendations using Collaborative Filtering, Content-Based Filtering, and advanced techniques like Embedding Matrix and Cosine Similarity.
SynthBook is a Bachelor of Engineering final year project developed by students of Cosmos College of Management & Technology (Affiliated to Pokhara University). It aims to solve the common problem of readers struggling to find books that match their interests by providing intelligent, personalized recommendations.
- Personalized Recommendations using Collaborative Filtering (SVD/Embedding Matrix)
- Genre-wise Book Discovery with weighted rating system
- Content-Based Filtering using TF-IDF and Cosine Similarity
- Rich Book Details with author info, release year, synopsis, ratings, and genres
- Beautiful Premium UI with full-screen experience and smooth interactions
- User Authentication (Login, Signup, Google Sign-in)
- Rate & Review functionality
- Explore & Search extensive book collection
- Django (Python Web Framework)
- SQLite Database
- Collaborative Filtering (SVD / FunkSVD)
- Embedding Matrix
- Content-Based Filtering (TF-IDF + Cosine Similarity)
- IMDB Weighted Rating Formula
- Genre-wise Weighted Rating
- Pandas, NumPy, Scikit-learn, Surprise
- NLTK (for text preprocessing)
- HTML5, CSS3, JavaScript
- Bootstrap + Custom CSS
Submitted By:
- Rabin Mishra (200128)
Submitted To:
Department of IT and Computer Engineering
Cosmos College of Management & Technology
Tutepani, Lalitpur, Nepal
(2081/05/28)
# 1. Clone the repository
git clone https://github.com/Rabin-Mishra/SynthBook.git
cd SynthBook
# 2. Create virtual environment
python -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
# 3. Install dependencies
pip install -r requirements.txt
# 4. Apply migrations
python manage.py migrate
# 5. Create superuser (optional)
python manage.py createsuperuser
# 6. Run the server
python manage.py runserver