I am an AI Engineering student with a strong passion for artificial intelligence, specializing in computer vision, natural language processing (NLP), and reinforcement learning. I excel in data consulting, AI model development, and web applications, with proficiency in Python, Java, C++, and frameworks like Django and Flask.My projects include developing an antibiotic classification model to enhance medical prescriptions and creating a skin disease detection system using CNNs like ResNet50 and EfficientNetv7, seamlessly integrated into a web platform. I designed Beemo, a robot that supports autistic children by detecting emotions and facilitating adaptive conversations, which received recognition for innovation. Additionally, I developed an AI chatbot for MediaNet that improved query resolution by 35% and built FireForce, a real-time fire detection system that significantly reduced false alarms.I have also achieved success in competitive environments, winning the LabLab Next Hackathon, the AI Agents Hack with LabLab and MindsDB, and serving as champions in the GAIA Hackathon Act 3. With over 30 AI certifications and active involvement in organizations like Enactus and IEEE, I am eager to leverage my skills in computer vision, NLP, data analysis, and AI solutions to contribute to groundbreaking projects that drive positive change.