Walmart Hackathon Submission Future of Retail

Team BlaBla
- Dual System Integration: The project includes a **Recommendation System and a Reverse Image Search feature, both designed to improve the user experience through advanced image processing.
- *ResNet50 Backbone*: Both systems utilize the ResNet50 deep learning model, known for its high accuracy and 50-layer depth, making it ideal for image classification tasks.
- *Transfer Learning*: The models are pre-trained on large datasets and fine-tuned with custom data, enhancing performance and reducing the need for extensive new training.
- *Recommendation System*: Offers product suggestions based on visual similarities, helping users discover items similar to the ones they are interested in.
- *Reverse Image Search*: Allows users to upload or link an image in various formats (png, jpeg, jpg) and find visually similar products, functioning similarly to Google Lens.