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course_management_system

Course Management System is a web-based platform with an aim to provide quick, immediate access to various courses. It makes teaching and course management easier by providing a framework and set of tools for students as well as faculty. Users can access avail the benefits of all the features once they login to the website. The user interface is customer friendly and assists you at each and every step. Course registration part is not fully complete yet.

mental-health-analysis-based-on-survey

In this project we conducted a survey on the mental health which aims to advance knowledge of the mental issues faced by some vulnerable segments by examining the some of the common conditions like gender, age, family history, employees etc which results in mental issues. Vulnerable segmentation is the process of identifying groups of people facing mental issues and designing mental treatment based on common characteristics and unique needs for each group. Vulnerable segments will vary for every organisation depending on the environment and employees. Segmentation theorists often suggest that `female' employees in industry suffer lot of mental problems. In this project we will describe patterns and trends within different groups in order to determine the vulnerable groups which require mental treatment. This project focuses on creating a model which will predict whether a person needs mental treatment based on his inputs like family and environment

recommendation-system

An improved E-commerce product recommendation system

sentence-boundary-disambiguation

A sample NLP model using ML to detect boundaries of a given sentence and to classify them.

sentiment-analysis-on-amazon-review-dataset

In today’s world sentiment analysis can play a vital role in any industry. Classifying tweets, Facebook comments or product reviews using an automated system can save a lot of time and money. The main objectives of our project is to create a model having the best accuracy which using sentiment analysis interprets feedbacks given by customers through product reviews helps companies evaluate how satisfied the customers are with their products/services. So the model helps in classifying the feedbacks provided by the customer as Positive, Negative or Neutral. The understanding of customer behavior and needs on a company’s products and services is vital for organizations. Another important objective is understanding of the dataset. Here we can use Data Visualization and Data Exploration to gain more insights .

sign-language-recognition-system

skin-cancer-detection-basic-ml-models

tweet-emotion-recognition