RajanikaD
Machine learning enthusiast willing to dedicate an extended amount of time to the Artificial Intelligence field and its subfield.
Chicago
Pinned Repositories
Analysis-on-Covid-19
Showing how data analysis can be utilized in anticipating the new day by day instances of Corona Virus.
Brain-Tumor-Detection.ipynb
The main purpose of this project was to build a CNN model that would classify if subject has a tumor or not base on MRI scan. I used the VGG-16 model architecture and weights to train the model for this binary problem.
CNN-Model-Fashion
CNN-model for fashion classification
Document-Classifier
Identifies the document if they are Pan Card or not.
Face-mask-detection-model
German-Credit-Analysis-and-Prediction
Model that will help classify a person, based on the attributes as good or bad credit risk.
Great-Barrier-Reef-Kaggle
Object detection model that accurately identifies starfish in real-time by training on underwater videos of coral reefs.
Image-Classification-Model-
Here I have built a model which classifies and identifies which images are of cats and dogs.
sales_predictions
Predicting the sales of various cars using Linear Regression
Speech-Analyzer
RajanikaD's Repositories
RajanikaD/Analysis-on-Covid-19
Showing how data analysis can be utilized in anticipating the new day by day instances of Corona Virus.
RajanikaD/Brain-Tumor-Detection.ipynb
The main purpose of this project was to build a CNN model that would classify if subject has a tumor or not base on MRI scan. I used the VGG-16 model architecture and weights to train the model for this binary problem.
RajanikaD/CNN-Model-Fashion
CNN-model for fashion classification
RajanikaD/Document-Classifier
Identifies the document if they are Pan Card or not.
RajanikaD/Face-mask-detection-model
RajanikaD/German-Credit-Analysis-and-Prediction
Model that will help classify a person, based on the attributes as good or bad credit risk.
RajanikaD/Great-Barrier-Reef-Kaggle
Object detection model that accurately identifies starfish in real-time by training on underwater videos of coral reefs.
RajanikaD/Image-Classification-Model-
Here I have built a model which classifies and identifies which images are of cats and dogs.
RajanikaD/sales_predictions
Predicting the sales of various cars using Linear Regression
RajanikaD/Speech-Analyzer
RajanikaD/Assistive-Technology-for-Deaf-and-Dumb
Sign Language Detector
RajanikaD/Blind-Assistance-Object-Detection-and-Navigation
This is a vision enhancer based module specifically for the BLIND VICTIMS. The system is designed in such a way in which the blind person can take the help of THIRD PARTY APPLICATION which sends Real Time Frames to the LAPTOP-BASED WIRELESS NETWORKED SYSTEM. It works on REAL-TIME OBJECT DETECTION using SSD_MOBILENET algorithm and TENSORFLOW APIs . It has a core feature of approximate distance calculation and Voice - Based wireless feedack generation w.r.t the DISTANCE CALCULATION. It makes the work of Blind easy,efficient and reliable by sending wireless Voice based feedback whether the particular object is either too close to him or is it at a safer distance. The same system can be used from Obstacle Detection
RajanikaD/Classification-of-Arrhythmia-using-ECG-Data
Developed accurate and efficient machine learning algorithms for automated arrhythmia detection and classification. The goal is to predict if a person is suffering from arrhythmia or not, and if yes, classify it in to one of the available groups.
RajanikaD/Data-Visualization-IITDV
RajanikaD/FroshLink_Task1
RajanikaD/gettingStartedWithGithubInMR
RajanikaD/Hand-Gestures
RajanikaD/MentorIF
RajanikaD/Occupancy
RajanikaD/Portfolio2.0
RajanikaD/PortfolioRD
RajanikaD/RajanikaD
RajanikaD/RajanikaD-Website
RajanikaD/RealTimeObjectDetection
RajanikaD/Resume-Analyzer
A resume analyzer using regular expressions to extract specific information out of a resume.
RajanikaD/UCL_AISOC_Tutorial_HandGestureRecognition
This project aims to design a real-time vision-based hand gesture recognition system with machine learning techniques, which potentially makes deaf-and-mute people life easier.