Moulen runs in real-time, meaning it can detect the age and gender of a person who is in front of the camera, using computer vision techniques. It uses pre-trained models that were trained on large datasets to detect the facial features and classify the age and gender from them. We developed Moulen using python, we used pre-trained modules based on Caffe deep learning framework one for the Gender classification and it was trained on the Adience dataset and second one for age classification and it was trained on the IMDB-WIKI dataset. Our target customers is literally all companies, event owners, and anyone who would like to use more targeted ads.Category tags:
"Great job, team! Moulen is an incredibly interesting idea that has the potential to revolutionize the advertising industry by personalizing ads and boosting sales. According to a recent study by SmartHQ, 72% of consumers responded positively to personalized marketing messages, even with simple personalization elements such as their name and preferences. This demonstrates a significant opportunity for your product to be a powerful tool for marketing campaigns. I'm thrilled to see what the future holds for Moulen. Keep up the fantastic work and good luck!"