Pinned Repositories
Apple-tree-Disease-Phenotyping
This project utilizes InceptionNet, CNN and ResNet to identify diseases in apple trees from images of their leaves. The dataset comprises annotated photos categorized into four classes: "healthy," "multiple_diseases," "rust," and "scab." The goal is to develop a robust model for early disease detection in apple orchards.
detection-and-classification-of-iotmalware
This project develops and compares various machine learning models to detect IoT malware. The goal is to classify network traffic into six categories: Bruteforce, DoS, Flood, Legitimate, Malformed, and SlowITe. The models used include LightGBM, Random Forest, CNN, Gradient Boost, and Naive Bayes.
DirectoryWebApp
This project is a web application designed to manage, search, and retrieve PDF files stored in a centralized database. It addresses common inefficiencies and security issues in traditional file storage systems by centralizing file storage and improving search capabilities.
FLying-Monster
A simple JAVA based game with monster flying between the pipes.
Leetcode-Ques
Putting practice ques here for future reference and revision.
Semantic-Similarity-Analysis
This project focuses on evaluating the semantic similarity performance of FastText models (Skipgram and CBOW) trained on a large corpus of Wikipedia articles. The project compares the training times and performance of models with different dimensions and dataset sizes, using the STS Benchmark for evaluation.
spp-project
Here, in this code I have used Apple stock price data, preprocess it, and trained different models including LSTM, Random Forest, SVR, and ARIMA. We then evaluated the models using performance metrics such as RMSE and plots the predictions.*
Website-FeelYourselfHeal
FeelYourselfHeal is a HTML, CSS, JavaScript based Website that aims at the welfare of the people who are facing a lot of stress , anxiety , and depression. It aims at providing resources one needs for their mental well-being. In the construction of this site/
akshita-pant's Repositories
akshita-pant/DirectoryWebApp
This project is a web application designed to manage, search, and retrieve PDF files stored in a centralized database. It addresses common inefficiencies and security issues in traditional file storage systems by centralizing file storage and improving search capabilities.
akshita-pant/Apple-tree-Disease-Phenotyping
This project utilizes InceptionNet, CNN and ResNet to identify diseases in apple trees from images of their leaves. The dataset comprises annotated photos categorized into four classes: "healthy," "multiple_diseases," "rust," and "scab." The goal is to develop a robust model for early disease detection in apple orchards.
akshita-pant/detection-and-classification-of-iotmalware
This project develops and compares various machine learning models to detect IoT malware. The goal is to classify network traffic into six categories: Bruteforce, DoS, Flood, Legitimate, Malformed, and SlowITe. The models used include LightGBM, Random Forest, CNN, Gradient Boost, and Naive Bayes.
akshita-pant/FLying-Monster
A simple JAVA based game with monster flying between the pipes.
akshita-pant/Leetcode-Ques
Putting practice ques here for future reference and revision.
akshita-pant/Semantic-Similarity-Analysis
This project focuses on evaluating the semantic similarity performance of FastText models (Skipgram and CBOW) trained on a large corpus of Wikipedia articles. The project compares the training times and performance of models with different dimensions and dataset sizes, using the STS Benchmark for evaluation.
akshita-pant/spp-project
Here, in this code I have used Apple stock price data, preprocess it, and trained different models including LSTM, Random Forest, SVR, and ARIMA. We then evaluated the models using performance metrics such as RMSE and plots the predictions.*
akshita-pant/Website-FeelYourselfHeal
FeelYourselfHeal is a HTML, CSS, JavaScript based Website that aims at the welfare of the people who are facing a lot of stress , anxiety , and depression. It aims at providing resources one needs for their mental well-being. In the construction of this site/