Pinned Repositories
Geomagnetic-Storm-Detection
Adversarial-Attacks-on-Object-Detectors-Paperlist
A Paperlist of Adversarial Attack on Object Detection
Chatbot-Greeting-System-With-Face-Detection
Revolutionary Chatbot Greeting System: Seamlessly Welcoming Users through Face Detection Technology
Container-Liquid-Level-Detection
This project aims to develop an automated system for segmenting containers based on liquid levels. By detecting variations and errors in the levels, the system predicts if a bottle is accepted or rejected, ensuring accurate quantification and quality control on a conveyer belt.
Data-Mining-Lab
Explore data preprocessing and machine learning with this Jupyter Notebook, covering essential techniques and algorithms
Intrusion-Detection-System
This project demonstrates the development of an intrusion detection system using machine learning techniques such as LSTM and CNN to safeguard networks against malicious activities and cyber threats.
Lunar-Terrain-Understanding-And-Autonomous-Navigation
By employing the UNet-VGG architecture, we improve terrain understanding, enabling safer and more efficient lunar rover navigation, paving the way for advanced lunar exploration.
Road-Segmentation
This code implements road segmentation using an FCN model. It loads a dataset, defines the model architecture with convolutional and upsampling layers, trains the model, evaluates its performance, and displays example predictions. The goal is to accurately segment roads in images.
Segmentation-System-for-Self-Driving-Cars
Unlock the potential of autonomous vehicles with advanced object detection and segmentation. Harness the BDD100K dataset to enhance road safety and transportation efficiency
Social-Network-Analysis-Facebook
Utilized Social Network Analysis to explore Facebook data, identifying key individuals, and visualizing network patterns to gain insights into online social connections and interactions.
Maatrika-P's Repositories
Maatrika-P/Intrusion-Detection-System
This project demonstrates the development of an intrusion detection system using machine learning techniques such as LSTM and CNN to safeguard networks against malicious activities and cyber threats.
Maatrika-P/Container-Liquid-Level-Detection
This project aims to develop an automated system for segmenting containers based on liquid levels. By detecting variations and errors in the levels, the system predicts if a bottle is accepted or rejected, ensuring accurate quantification and quality control on a conveyer belt.
Maatrika-P/Road-Segmentation
This code implements road segmentation using an FCN model. It loads a dataset, defines the model architecture with convolutional and upsampling layers, trains the model, evaluates its performance, and displays example predictions. The goal is to accurately segment roads in images.
Maatrika-P/Social-Network-Analysis-Facebook
Utilized Social Network Analysis to explore Facebook data, identifying key individuals, and visualizing network patterns to gain insights into online social connections and interactions.
Maatrika-P/Adversarial-Attacks-on-Object-Detectors-Paperlist
A Paperlist of Adversarial Attack on Object Detection
Maatrika-P/Chatbot-Greeting-System-With-Face-Detection
Revolutionary Chatbot Greeting System: Seamlessly Welcoming Users through Face Detection Technology
Maatrika-P/Data-Mining-Lab
Explore data preprocessing and machine learning with this Jupyter Notebook, covering essential techniques and algorithms
Maatrika-P/Flan-T5-Exploration-with-T5-small-Fine-Tuning
This repository contains code for leveraging Flan-T5 for initial exploration and fine-tuning the T5-Small model to generate concise and informative summaries from text data.
Maatrika-P/Lunar-Terrain-Understanding-And-Autonomous-Navigation
By employing the UNet-VGG architecture, we improve terrain understanding, enabling safer and more efficient lunar rover navigation, paving the way for advanced lunar exploration.
Maatrika-P/Segmentation-System-for-Self-Driving-Cars
Unlock the potential of autonomous vehicles with advanced object detection and segmentation. Harness the BDD100K dataset to enhance road safety and transportation efficiency
Maatrika-P/Geomagnetic-Storm-Detection
Developed a solution to predict the value of Kp index, calculated from geomagnetic field data across 13 locations on Earth & data from DSCOVR satellite. Used ARIMA, to make these predictions based on Level 1 time series data provided by NASA. Kp index prediction gives us valuable insights into current Geomagnetic Weather.
Maatrika-P/High-End-Image-Processing
This project aims to improve image registration accuracy by integrating feature extraction and machine learning techniques. It involves a multi-step process, including preprocessing, feature detection, robust estimation, and perspective transformation. Machine learning classifier is trained using extracted features.
Maatrika-P/Industrial-Tool-Anomaly-Detection
Maatrika-P/Maatrika-P
Developer leveraging technology to solve real-world problems and create innovative solutions.
Maatrika-P/Maatrika_Portfolio.github.io
Find my recent project works on my portfolio. If you like what you see, star it!
Maatrika-P/Neuroadaptive-Recommender-System-OpenBCI-Learning-Analytics
Revolutionize education with a Neuroadaptive Recommender System. Personalize learning using OpenBCI data & learning analytics. Enhance outcomes by bridging gaps, adapting in real-time. Empower learners, educators, institutions. Engaging, data-driven EdTech solution
Maatrika-P/Ship-Detection-in-SAR-Images
Ship Detection in SAR Images: A repository for analyzing, training, and testing ship detection models using Synthetic Aperture Radar (SAR) images.
Maatrika-P/Streamlit-chatbot-using-llama2
Maatrika-P/Task-Management-System
Maatrika-P/Weather-Forecast-CLI
This project integrates Bing API for geocoding, OpenWeatherMap API for weather data, and leverages GitHub Copilot for AI-generated code. Fetch weather for cities or user location, display temperature/humidity with color-coded formatting. Streamline development with AI assistance.
Maatrika-P/Web-Technologies-Labs
Web Tech Lab: Exploring JS, CSS, HTML, PHP, JSP projects for hands-on learning and innovation.