Focus : Python, Machine Learning,Data Analysis,Data Visualisation
Specifications : Machine Learning
Sports(Badminton),Trekking
Self driven and passionate student with a strong foundation in machine learning, data visualization, and statistical analysis. Passionate about uncovering insights from data and solving real-world problems through analytical methods and technology. Skilled at problem-solving and thrive in collaborative team environments to achieve shared goals.
A Deep Learning model was developed using CNN to predict tomato leaf disease, trained on the PlantVillage dataset available on Kaggle. This model was then integrated into a Django-based web application where users can upload images of affected leaves to receive predictions. The application also offers additional features such as a marketplace, a farmer community, and buying options.
Performed the Data Analysis for "Let Us Dream" Global Organization's Triennial International Conference 2023 by analyzing feedback and outcomes. Presented insights from data analysis to help assess the conference's impact.
Built a full-stack e-commerce website using Django, with features like user login, product listings, shopping cart, blog services, and payment integration. Designed a user-friendly interface utilizing HTML, CSS, and JavaScript, ensuring security and efficiency for a smooth user experience.