Himanshi Joshi's Projects
This repository features the implementation of YOLOv8 for aerial ship detection, trained on a Kaggle dataset. Leveraging PyTorch, it utilizes the Darknet architecture with enhancements from YOLOv3 and YOLOv4
This project analyzes key CNN architectures—AlexNet, LeNet, VGG, GoogLeNet, and ResNet—using the soybean disease dataset. By implementing and evaluating these models, the study assesses their effectiveness in identifying and classifying soybean diseases, providing insights into their strengths and weaknesses for agricultural disease diagnosis.
A Python and SQL-based course recommendation system leverages algorithms and data analysis techniques to evaluate user data, encompassing preferences and historical interactions. Its core purpose is to provide tailored course suggestions based on individual user demands, enhancing the learning experience.
The currency converter project is a Python application built with tkinter that enables users to input an amount and select source and target currencies.
This is official website of Google Developer Student Clubs DAVV
Implemented a Generative Adversarial Network (GAN) using the MNIST dataset, generating realistic handwritten digits. The GAN architecture was trained to produce high-quality synthetic images, demonstrating proficiency in deep learning and image generation techniques.
This Streamlit application integrates LangChain's Llama-3 model for conversational AI, enabling users to interact by posing queries on various topics. The interface logs user questions and system responses in real-time, facilitating seamless dialogue and information retrieval.