I am a curious and driven AI/ML student with hands-on experience in building end-to-end ML solutions. I enjoy translating complex data into actionable insights and collaborating with cross-functional teams to bring innovative features to life. I am actively expanding my skills in AI, ML, and software development, and I’m excited to tackle real-world problems with practical ML models, robust data pipelines, and user-centered applications. I’ve worked on several AI and software projects focused on solving real-world problems using machine learning and intelligent systems. 1. Engine Noise Analysis App – Built a mobile app that listens to motorcycle engine sounds and predicts if the engine is in good condition or needs maintenance. It helps dealers quickly diagnose issues. 2. AI-Powered Startup Evaluator – Created a web platform using an AI model that analyzes startup ideas and gives insights like growth potential, competition, and success chances. 3. Automatic Number Plate Recognition System – Developed a smart parking system that automatically detects vehicle number plates, records details in a database, and manages parking operations. 4. Cancer Prediction Model – Designed a machine learning model that predicts different types of cancers using patient data with high accuracy. 5. Spam-Ham SMS Classifier – Built an NLP-based model that identifies whether a text message is spam or genuine. 6. Car Accident Detection (IoT)– Worked on a research project to detect car accidents using IoT sensors, with design and simulation in Proteus software.…I am a curious and driven AI/ML student with hands-on experience in building end-to-end ML solutions. I enjoy translating complex data into actionable insights and collaborating with cross-functional teams to bring innovative features to life. I am actively expanding my skills in AI, ML, and software development, and I’m excited to tackle real-world problems with practical ML models, robust data pipelines, and user-centered applications. I’ve worked on several AI and software projects focused on solving real-world problems using machine learning and intelligent systems. 1. Engine Noise Analysis App – Built a mobile app that listens to motorcycle engine sounds and predicts if the engine is in good condition or needs maintenance. It helps dealers quickly diagnose issues. 2. AI-Powered Startup Evaluator – Created a web platform using an AI model that analyzes startup ideas and gives insights like growth potential, competition, and success chances. 3. Automatic Number Plate Recognition System – Developed a smart parking system that automatically detects vehicle number plates, records details in a database, and manages parking operations. 4. Cancer Prediction Model – Designed a machine learning model that predicts different types of cancers using patient data with high accuracy. 5. Spam-Ham SMS Classifier – Built an NLP-based model that identifies whether a text message is spam or genuine. 6. Car Accident Detection (IoT)– Worked on a research project to detect car accidents using IoT sensors, with design and simulation in Proteus software.WWWW…