Project 1: Malicious URL Detection System
Description: Developed a live Malicious URL Detection system capable of identifying phishing and malicious URLs in real-time. The system utilizes machine learning algorithms to analyze URL features and classify them as safe or malicious.
Technologies Used: Python, Scikit-learn, Flask, REST API, Render (for deployment)
Key Features:
- Real-time URL analysis and classification
- Integration with a web interface for user interaction
- Deployment on Render for scalability and accessibility
Outcome: Successfully deployed the Malicious URL Detection system, providing users with a reliable tool to identify and avoid phishing and malicious URLs, enhancing online security.
Project 2: Text-to-Image Generation Model
Description:
- Developed Generative AI web application converting text prompts into high-quality images using Stable Diffusion model
- Optimized image generation pipeline reducing latency by 40% through efficient preprocessing and caching mechanisms
- Secured 3rd place at IGNITE HACK 2024 among 50+ competing teams, demonstrating innovation and technical excellence
Technologies Used: Python, TensorFlow, Stable Diffusion, Google colab
Outcome: Successfully developed a Generative AI model, enabling users to generate high-quality images from text prompts, showcasing the power of AI in creative applications.