Computer Science Student | Machine Learning Enthusiast
Enthusiastic computer science student with a strong interest in Machine Learning and its real-world applications. Experienced in building intelligent solutions using modern technologies. Proficient in programming with Java, focusing on Data Structures and Algorithms to create optimized and scalable systems. Adept at continuous learning, problem-solving, and applying core CS concepts effectively.
🔊 Deepfake Audio Detection Deepfake Audio Detection is a machine learning project that analyzes voice recordings to identify synthetic or tampered audio. By using features like spectrograms and waveform patterns, it detects inconsistencies in pitch, tone, and frequency that commonly appear in AI-generated voices. The goal is to prevent misuse of voice cloning in fraud or misinformation.
View Project🕳️ Pothole Detection using Computer Vision involves using image processing and deep learning models to identify road surface damage from images or video. The system detects potholes based on shape, texture, and shadow features, helping automate road maintenance and ensure safer driving conditions.
View ProjectThis portfolio is created just for fun and practice. Some hyperlinks may not work and the webpage is not responsive.