● Involved developing, training, and deploying machine learning models to solve real-world problems.
● Trained so many models along with their websites using HTML, CSS and JAVASCRIPT. Integrated Back-end
● side with Front-end side CORVIT KEY
PROJECTS
Lung Cancer Classification Using Machine Learning Models
Comparative Analysis of Breast Ultrasound Classification Using Convolutional Neural Networks (VGG16, VGG19) Pox Classification Using Deep Learning Models
Heart Attack Rate Classification Using Machine Learning Models
Indoor Detection Using YOLOV8
Fruit Images Detection Using YOLOV8
Parking Slot Detection using CV
Convolution Auto Encoder
Action Recognition using Pytorch
Skin Finder Disease Classification using CNNs
Key Technologies: Python, ML, DL, NLP, CV, CNN, Numpy, Pandas, Matplotlib, Tensorflow, Scikit-Learn, Pytorch, OpenCV, Roboflow, Langchain, Hugging Face, OpenAI, Langchain, Qdrant, Streamlit, Flask, Beautiful Soup, Selenium, Sqlite3, Keras, Torchvision, llama- index.