Avina20

Amilcar

Website I built as part of my internship at Amilcar Technologies in 2020

Amilcartek

classmate-io

A scalable web application designed to revolutionize the learning experience. By providing a multifaceted approach to learning enhancement, the web application seeks to create a conducive environment for students who grapple with distractions, all while building a scalable application on Cloud and incorporating MLOPs features

Comparision-of-various-ML-algorithms-using-Flower-Species-Recognition

There are millions of flower species around the world. We performed an image classification task using computer vision and machine learning algorithms with the help of Python for species recognition. We will build an intelligent system that was trained with massive dataset of flower/plant images. The system predicts the label/class of the flower/plant using Computer Vision techniques and Machine Learning algorithms.

ConnectX

A community building platform for neighbourhood

Dining-Concierge

A serverless, microservice driven, Dining Concierge chatbot that sends you restaurant suggestions given a set of preferences that you provide the chatbot with through conversation.

Geospatial-ERA5-prediction

This project aims around exploring and evaluating the ERA5-Land Hourly Reanalysis Data from CDS API

MCQ-generator

Nowadays, teachers/professors/tutors spend a lot of time generating test papers and quizzes manually. Similarly, students spend a lot of time on self-analysis. Moreover, students are dependent on their mentors for the self-analysis. Hence, I am working on this NLP project, which has a huge scope of development at this moment. We want to build a computer application system that can help you in calibrating yourself and remove any dependencies on mentors. So this project is relevant to both students and mentors.

Stock-Returns-Prediction

Stock market is viewed as tumultuous, mind boggling, unstable and dynamic. Without a doubt, its prediction is one of the most herculean task in time series prediction. Long short term memory (LSTM) networks are a best in class method for time series and sequence learning. Normally they are not applied to financial sequences, yet they are quite appropriate for this project. We used LSTM networks for forecasting the future stock prices from the historical prices, predict the stock returns and finally use binary classification to predict the direction of stocks.

Votesafe

To conduct a free and fair elections we have created a WebApp, this allows its users to report these activities with ease. Election Commission, a neutral entity that conducts these elections will take note of the reported findings and act upon them. Through this app people can report instances and it will automatically be added to the database which is kept centralised to the government Your location and live hotspots are detected through Google Maps API, it tells the precise location of the constituency/area of the event To check the authenticity of the user a two step verification process is used which makes it as safe as a bank transaction, an OTP is sent to their respected e-mail ID and after verifying the OTP the complaint is registered and taken notice of There is a live news feed available to keep people updated regarding the elections and other national news. Statistics of the reported activities are also available, this is made by canvas.js; the statistics given are of those events that are reported by the people.

Avina20/Stock-Returns-Prediction

Stock market is viewed as tumultuous, mind boggling, unstable and dynamic. Without a doubt, its prediction is one of the most herculean task in time series prediction. Long short term memory (LSTM) networks are a best in class method for time series and sequence learning. Normally they are not applied to financial sequences, yet they are quite appropriate for this project. We used LSTM networks for forecasting the future stock prices from the historical prices, predict the stock returns and finally use binary classification to predict the direction of stocks.

Avina20/Comparision-of-various-ML-algorithms-using-Flower-Species-Recognition

There are millions of flower species around the world. We performed an image classification task using computer vision and machine learning algorithms with the help of Python for species recognition. We will build an intelligent system that was trained with massive dataset of flower/plant images. The system predicts the label/class of the flower/plant using Computer Vision techniques and Machine Learning algorithms.

Avina20/ConnectX

A community building platform for neighbourhood

Avina20/Amilcar

Website I built as part of my internship at Amilcar Technologies in 2020

Avina20/Amilcartek

Avina20/Blood-Bank

This project is aimed to developing an online Blood Donation Information. The entire project has been developed keeping in view of the distributed client server computing technology, in mind. The Blood Donation Agent is to create an e-Information about the donor and organization that are related to donating the blood. Through this application any person who is interested in donating the blood can register himself in the same way if any organization wants to register itself with this site that can also register. Moreover if any general consumer wants to make request blood online he can also take the help of this site. Admin is the main authority who can do addition, deletion, and modification if required. The project has been planned to be having the view of distributed architecture, with centralized storage of the database. The application for the storage of the data has been planned. technologies. The database connectivity is planned using the "SQL Connection" methodology. The standards of security and data protective mechanism have been given a big choice for proper usage. The application takes care of different modules and their associated reports, which are produced as per the applicable strategies and standards that are put forwarded by the administrative staff.

Avina20/classmate-io

A scalable web application designed to revolutionize the learning experience. By providing a multifaceted approach to learning enhancement, the web application seeks to create a conducive environment for students who grapple with distractions, all while building a scalable application on Cloud and incorporating MLOPs features

Avina20/Dining-Concierge

A serverless, microservice driven, Dining Concierge chatbot that sends you restaurant suggestions given a set of preferences that you provide the chatbot with through conversation.

Avina20/Geospatial-ERA5-prediction

This project aims around exploring and evaluating the ERA5-Land Hourly Reanalysis Data from CDS API

Avina20/MCQ-generator

Nowadays, teachers/professors/tutors spend a lot of time generating test papers and quizzes manually. Similarly, students spend a lot of time on self-analysis. Moreover, students are dependent on their mentors for the self-analysis. Hence, I am working on this NLP project, which has a huge scope of development at this moment. We want to build a computer application system that can help you in calibrating yourself and remove any dependencies on mentors. So this project is relevant to both students and mentors.

Avina20/NAT-Geo-Activity

Avina20/Votesafe

To conduct a free and fair elections we have created a WebApp, this allows its users to report these activities with ease. Election Commission, a neutral entity that conducts these elections will take note of the reported findings and act upon them. Through this app people can report instances and it will automatically be added to the database which is kept centralised to the government Your location and live hotspots are detected through Google Maps API, it tells the precise location of the constituency/area of the event To check the authenticity of the user a two step verification process is used which makes it as safe as a bank transaction, an OTP is sent to their respected e-mail ID and after verifying the OTP the complaint is registered and taken notice of There is a live news feed available to keep people updated regarding the elections and other national news. Statistics of the reported activities are also available, this is made by canvas.js; the statistics given are of those events that are reported by the people.

Avina20/avina20.github.io

My portfolio built on Jekyll

Avina20/Breast-Cancer-Prediction

Breast cancer (BC) is one of the most common cancers among women worldwide, representing the majority of new cancer cases and cancer-related deaths according to global statistics, making it a significant public health problem in today’s society. The early diagnosis of BC can improve the prognosis and chance of survival significantly, as it can promote timely clinical treatment to patients. Further accurate classification of benign tumors can prevent patients undergoing unnecessary treatments. Thus, the correct diagnosis of BC and classification of patients into malignant or benign groups is the subject of much research. Because of its unique advantages in critical features detection from complex BC datasets, deep learning (DL) is widely recognized as the methodology of choice in BC pattern classification and forecast modelling.

Avina20/CIFAR-10-with-VGG

Avina20/docker-practice

Avina20/DockerPractice

Avina20/Fashion-MNIST

Avina20/hello-world

Here it begins!

Avina20/Hematoma

Detection and classification of hematoma from patient CT

Avina20/Kubernetes-with-Prometheus

Avina20/MNIST-Handwiriting-Detection

The model uses ANN to identify and classify image of digits. The dataset is the famous MNIST dataset.

Avina20/NLP-Handson

NLP hands-on practice notebooks

Avina20/Poll-app

Polling application using Django

Avina20/ReactPractice

Avina20/StepFreeMTA

Avina20/StickerSmash

My first app built on Expo

Avina20/transit

Avina20/Vacbook

Avina20/Vacbook-PharmEasy

Vaccination slot booking using Springboot and Kotlin