The problem SearchShield solves

• Safe Browsing Experience: SearchShield provides users with a platform that automatically filters out explicit content and offensive keywords, ensuring that all search results are suitable for users of all ages.
• Enhanced Productivity: By minimizing distractions from inappropriate content, SearchShield allows users to focus on finding relevant information more efficiently, making their online searches more productive.
• Proactive Content Moderation: The application uses a machine learning model trained on a large dataset to detect and filter profanity, ensuring that users are only exposed to appropriate content.

Challenges I ran into

• Model Training Difficulties: One of the primary challenges was training the profanity detection model with a diverse and representative dataset. Initially, the model struggled to accurately classify certain words and phrases. To address this, I conducted extensive data preprocessing and augmentation, which significantly improved the model's accuracy.

• Integration Issues with the Frontend: Integrating the machine learning model with the frontend application presented some technical hurdles, especially when ensuring seamless user experience. I resolved this by using FastAPI for backend integration, allowing for smooth communication between the client and the server.