Aditya Mane

Innovative and tech-driven professional with a passion for blending AI, machine learning, and web technologies to craft impactful solutions. Experienced in building an emotion-based music recommendation system powered by facial recognition and NLP, as well as a dynamic leave management platform. Skilled in Python, MySQL, JavaScript, AngularJS, HTML, and CSS, with a strong flair for teamwork, creativity, and problem-solving.

Verbal and Gesture Recognition Using Hand Tracking and Speech Detection

Developed an intelligent system that integrates computer vision and speech detection to interpret human interactions in real time. The solution can comprehend both spoken words and hand gestures, enabling seamless human-computer communication. Implemented advanced recognition algorithms to process multimodal inputs accurately. Focused on delivering a system that enhances interactivity, efficiency, and user experience through cutting-edge technologies.

Pneumonia Detection using XRay Images

Developed an advanced diagnostic tool to detect pneumonia in X-ray images using Convolutional Neural Networks (CNNs). Implemented deep learning models to analyze medical images with high precision and reliability. Achieved high accuracy, demonstrating strong skills in AI, image processing, and medical data interpretation. Focused on creating an automated solution to assist healthcare professionals in early and accurate pneumonia detection.