Domain : Machine Learning
Sr. No. Title Guide Abstract
1 Placement Query Portal (ML) Er. Sridevi Taradi Placement queries portal aims to provide the compatibly and simplify the process of placement for students. Chatbot helps to solve queries related placement and also portal provides requirement papers to enhance students ability and confidence.
2 Virtual Assistance Er. Shonal Vaz To make Artificial Intelligent (AI) that could be integrated in the infrastructure as well as daily lives of the people. Virtual assistant is boon for everyone in this new era of 21st century. It has paved way for a new technology where we can ask questions to machine and can interact with Intelligent Virtual Assistant(IVAs) as people do with humans. As our brains work and does a simple task, the system implemented resembles the same. This system will be implemented in the college to ease the work by extracting the student information and guiding students or user to fill various forms.
3 Health Analysis and Disease out break prediction Er. Bhagyashri Kulkarni HADOP is an android application which predicts the disease based on the symptoms entered by the doctor using different machine learning algorithms. It also displays the details like Symptoms, Precautions, causes etc. related to that particular disease. It can help both doctors as well as patients in identification and treatment of the disease.
4 ChatBot Er. Trupti Dudhat Chatbots, or conversational interfaces as they are also known, present a new way for individuals to interact with computer systems. Traditionally, to get a question answered by a software program involved using a search engine, or filling out a form. A chatbot allows a user to simply ask questions in the same manner that they would address a human. The most well known chatbots currently are voice chatbots: Alexa and Siri. However, chatbots are currently being adopted at a high rate on computer chat platforms.
5 Cloud Based Student Chatbot System Er. Archana Gopnarayan Cloud based Chatbot system uses artificial algorithm that analyses the student’s queries and messages. This system has a built-in artificial intelligence to answer the query of the student. The answers are appropriate to the user’s queries,
6 Real Estate Price Prediction Er. Ketan Bagade The project demonstrates the utilization of machine learning algorithm named random forest regression for predicting the price of real estate on real dataset. The aim of the project is to predict the price of real estate using random forest algorithm. To achieve the aim various parameters are used as input variable in the model to predict the price of real estate as output variable. The motive of the project is to help the seller to estimate the selling cost of real estate perfectly and to help the people who plan to buy a real estate by predicting the future price trends of real estate so that they can plan their finance well.
7 Face Recognition AI Robot Er. Shonal Vaz Our project "Humanoid Head" is designed and implemented for a smart AI robot that can recognize a person's face and even that person's voice. Thus, receive various commands for welcoming guests or for security purposes. One can also preview live streaming with a camera. The humanoid head also recognize facial expression of a person such as happy, sad, disgusted, fearful, angry. It is designed to make the human-robot interaction more natural and intuitive.