MSC Computer Science 2022-24 Projects

• Name: Aravind Kumar Yedida

• Reg No: 1001

• Project Name: Image Caption Generation

• Description: Project aims on generating captions from Images using a model related to Deep Learning.

• Name: Allu Snehitha

• Reg No: 1002

• Project Name: Helmet and Number plate detection and recognition

• Helmet detection and number plate recognitions is a computer vision task aimed at identifying whether individuals in images or video frames are wearing helmets this technology is crucial for enforcing safety regulations in road safety among motorcyclists and number plate recognition involves identifying and extracting alphanumeric characters from vehicle number plate .this is useful for applications such as law enforcement.

• Name: Batta Pranathi

• Reg No: 1003

• Project Name: Static analysis of malware

• Description: Malware detection is an essential aspect of cybersecurity that helps organization identify analyze and mitigate treats posed by malicious software

• Name: BURA RAJASEKHAR

• Reg No: 1004

• Project Name: Quality Analysis of Food Grains

• Description: To check the quality and classification of Food Grains

• Name: Buragapu Venkata Pravallika

• Reg No: 1005

• Project Name: Car price prediction using machine learning

• Description: To develop a machine learning model to predict the price of a car based on the attributes

• Name: DEEVI. VENKATA BALAJYOTHI

• Reg No: 1006

• Project Name: Emotion recognition on FER2013

• Description: Recognizing emotions from facial expressions using CNN model

• Name: DUSI JEEVAN RAJA

• Reg No: 1007

• Project Name: SKIN DISEASE DETECTION USING ML

• Description: The goal of this project is to develop a machine learning model capable of accurately detecting and classifying various skin diseases from images using image processing techniques.

• Name: Gayatri pandyani

• Reg No: 1008

• Project Name: Flood prediction using with Machine Learning

• Description: To use several machine learning algorithms we can predict the floods in several areas by using Machine Learning

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• Reg No: 1009

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• Reg No: 1010

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• Name: Gopalapalli Asha Latha

• Reg No: 1011

• Project Name: Visualising and forecasting stocks using Dash

• Description: Creating a single-page web application using Dash (a python framework) and some machine learning models which will show company information (logo, registered name and description) and stock plots based on the stock code given by the user. Also the ML model will enable the user to get predicted stock prices for the date inputted by the user.

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• Reg No: 1012

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• Reg No: 1013

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• Name: Inturi Jhansi Rani

• Reg No: 1014

• Project Name: Style transfer

• Description: Image styel transfer is to transfer the main style of the style image to the original content image while retaining the semantic content of the original content image as much as possible, and then obatain a new transfer result image.

• Name: Ippili venkata neeraja

• Reg No: 1015

• Project Name: Throat cancer detection using machine learning

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• Reg No: 1016

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• Name: AKSHARA KASI

• Reg No: 1017

• Project Name: GeoSight: Enhancing GeoSpatial Data Accessibility for Colorblind Individuals.

• Description:

  • Name of the Guide: *Dr. Kunjam Nageswar Rao Sir [HOD- CS&IT]
  • Software: QGIS version 3.14
  • THE dataset was trained using a distinct convolution neural network (CNN)- part of a Machine learning
  • For making it accessible for colorblind people we are applying deep learning technique on the generated
  • In that way, the enhanced data can be accessed by both normal and colorblind people.

• Name: Kondaka Manikanta

• Reg No: 1018

• Project Name: Making healthcare chat bot using NLP

• Description: In recent years, chatbots have emerged as a promising toolfor enhancing healthcare services by providinground-the-clock access to information, fostering patientengagement, and alleviating the workload of healthcareprofessionals. The effectiveness of healthcare chatbotsrelies on expertise in natural language processing (NLP),machine learning, and domain-specific healthcareknowledge. With advancements in natural languageprocessing and machine learning technologies, chatbots have gained popularity. This paper focuses on a crucialaspect of chatbot functionality, namely intent recognition,enabling them to comprehend user purposes and respondappropriately. The study conducts a comparative analysis ofmachine learning algorithms—logistic regression, randomforest, support vector machines (SVM), and deep learningneural networks—utilizing a publicly available dataset. Theresults indicate that the SVM model outperforms the otheralgorithms in terms of accuracy and F1 score, highlightingits potential superiority in intent classification forhealthcare chatbots.

• Name: Koti Navya

• Reg No: 1019

• Project Name: LIVER DISEASE PREDICTION USING MACHINE LEARNING

• Description: LIVER DISEASE PREDICTION USING MACHINE LEARNING Liver disease is a critical health condition that can lead to severe complications and mortality if not diagnosed and treated prompily. Early detection is crucial for effective management and treatment. Machine learning algorithms can analyze large amounts of patient's records, such as age, gender, protein, albumin, etc., to identify patterns and predict the presence of liver diseases.

• Name: Maluru kiran kumar

• Reg No: 1020

• Project Name: Fake currency detection using image processing

• Description: The aim of this project is to test the authenticity of Indian currency notes by preparing a system which takes the image of currency as input and gives the final result by applying various image processing and computer vision techniques and algorithms. This currency authentication system has been designed completely using Python language

• Name: Matha Satwika

• Reg No: 1021

• Project Name: A Driving decision strategy based on machine learning for an autonomous vehicle

• Description:

  • 1. This project is describing concept for driving decision strategy by observing vehicle internal data such as steering and RPM(revolutions per minute) level to predict various classes such as speed (steering), changing lane etc.
  • 2. All existing technique were concentrate on external data such as road condition and pedestrians etc but not concentrate on internal values. So to take efficient determination of steering condition and changing lane we are analysing internal data.
  • 3. All internal data will be collected from sensor and then stored on cloud and then application will read data from cloud and apply machine learning algorithms to determine or predict steering condition or changing lane.

• Name: Gayathri Nadupuri

• Reg No: 1022

• Project Name: Speech recognition

• Description: Speech recognition, or speech-to-text, is the ability of a machine or program to identify words spoken aloud and convert them into readable text. Rudimentary speech recognition software has a limited vocabulary and may only identify words and phrases when spoken clearly.

• Name: Nagumalla Tejaswini

• Reg No: 1023

• Project Name: Campus placement prediction using machine learning

• Description: Campus placement prediction using ML is a project aims to develop a predictive model using machine learning algorithms to forecast the placement status of students based on various factors such as academic performance, communication skills etc.

• Name: NARALA. MAHALAKSHMI

• Reg No: 1024

• Project Name: CRIME RATE PREDICTION USING MACHINE LEARNING

• Description: The main aim of this project is to develop a system that can accurately predict crime rates and identify potential future crime trends. This information can then be used by officials to devise strategies to reduce crime rates and create a safer environment. To predict the crime rate (dependent variable) based on the year, location, and type of crime (independent variables), various types of machine learning algorithms will be applied. The system will examine how to convert the crime information into a regression problem, thus helping the officials to solve crimes faster. Crime analysis using available information to extract patterns of crime. Based on the territorial distribution of existing data and the recognition of crimes, various multi-linear regression techniques can be used to predict the frequency of crimes.

• Name: N.Swarupa Rani

• Reg No: 1025

• Project Name: Deep fake detection

• Description: DeepFake Detection is the task of detecting fake videos or images that have been generated using deep learning techniques. The goal of deepfake detection is to identify such manipulations and distinguish them from real videos or images.

• Name: NUNNA VEERA NAGENDRA KUMAR

• Reg No: 1026

• Project Name: Cyber Threat Classification & Prediction using ML

• Description: Based on d/f types of cyber threats.

• Name: Paidi Saikumar

• Reg No: 1027

• Project Name: Single image deraining using bilateral recurrent network

• Description: This project focuses on developing a state-of-the-art method for removing rain streaks from single images using a Bilateral Recurrent Network (BRN). Rain can significantly degrade the quality of images, which poses challenges for both human observation and computer vision tasks. The proposed method leverages the unique architecture of bilateral recurrent networks to effectively separate rain streaks from the background, ensuring high-quality, clear images.

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• Reg No: 1028

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• Reg No: 1029

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• Name: Pallapu Vineela

• Reg No: 1030

• Project Name: Handwritten character recognition using CNN

• Description:

  • This project uses Convolutional Neural Networks (CNNs) to recognize handwritten characters.
  • The experiments show that CNNs are very good at this, performing better than older methods.
  • This suggests that CNNs could be useful for scanning documents and automating text tasks because they handle different handwriting styles well.

• Name: PERLA.ROSHINI

• Reg No: 1031

• Project Name: MRI images for Brain Tumor Detection using DL

• Description: Project aim is to develop a computer based procedure to detect tumor at early stage and provide proper treatment as soon as possible.|t also provide doctors good software to identify tumor and their causes.

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• Reg No: 1032

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• Name: Ramya sivakoti

• Reg No: 1033

• Project Name: Parkinson disease

• Description: Parkinson's disease is a neurodegenerative disorder that affects movement. machine learning can be used to analyze data and identify potential cases.

• Name: Sunkara Bhuvaneswari

• Reg No: 1034

• Project Name: Network Intrusion Detection System on Autonomous Vehicles

• Description: An Network IDS is used to detect network anomalies. Where as in Autonomous Vehicles,ihe inteligent transportation system have been attacked along with error. In those cases IDS is used to detect the attack types. The proposed system is the improved IDS system that increases computational time which is used in Autonomous Vehicles.

• Name: Surla Venkata Adhilakshmi

• Reg No: 1035

• Project Name: Diabetes prediction

• Description: Diabetes is a medical disorder that impacts how well our body uses food as fuel. Most food we eat daily is converted to sugar, commonly known as glucose and then discharged into the blood stream. Our pancreas releases insulin when the blood sugar levels rise. Diabetes can cause blood sugar levels to rise if it is not continuously and carefully managed, which raises the chances of severe side affects like heart attack and stroke. We, therefore, choose to forecast using python machine learning. This comprehensive analysis explored several machine learning algorithms such as random forests, decision trees, XGBoost, and support vector machines, for building effective diabetes prediction models.

• Name: TARAKESWARA RAO TADELA

• Reg No: 1036

• Project Name: MACHINE LEARNING ALGORITHMS FOR DETECTING FAKE PROFILES IN ONLINE SOCIAL NETWORK

• Description:

  • Every day several people are creating their profiles on the social network platforms and they are interacting with others independent of the user's location and time.
  • Every day several people are creating their profiles on the social network platforms and they are interacting with others independent of the user's location and time.
  • In this paper we are proposing machine learning algorithms to improve the accuracy rate of the fake profiles detection.

• Name: TURIBILLI NAVEEN

• Reg No: 1037

• Project Name: Rainfall Prediction In India using Machine learning Algorithms

• Description: Using Machine learning algorithms main purpose is Agricultural planning and disaster management etc...

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• Reg No: 1038

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• Reg No: 1039

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• Name: Vayala Kumar

• Reg No: 1040

• Project Name: Food Recognition and Calorie Estimation using Deep Learning

• Description: The project aims to develop a sophisticated system using the MobileNet model for accurate food recognition and calorie estimation from images. By leveraging deep learning, the system identifies various food items and estimates their caloric content, providing users with valuable dietary insights. The methodology includes data collection, model training with MobileNet, and implementing algorithms for calorie estimation. The user interface allows easy image uploads, while the backend handles recognition and estimation processes. This tool aims to assist individuals in monitoring their dietary intake, supporting personal health, healthcare providers, and fitness enthusiasts in managing balanced nutrition effectively.

• Name: Nikhil Yamali

• Reg No: 1041

• Project Name: Leaf disease detection

• Description: Leaf disease detection with the help of Convolutional Neural Networks (CNNs).CNNs are a type of artificial neural network designed specifically for image recognition tasks.

• Name: Yasarla Sangeetha

• Reg No: 1042

• Project Name: Hospital Management Using Full Stack

• Description: This project aims to develop a user-friendly fullstack application to manage various aspects of a hospital. It will function as a software tool to streamline administrative tasks, improve efficiency, and enhance patient care.

• Name: YENUGUPALLI PRASANNA KUMAR

• Reg No: 1043

• Project Name: SQL INJECTION DETECTION USING DEEP LEARNING

• Description: Sql injection detection is used to save the database from attackers who can inject malicious code to sql queries to manipulate the database.

• Name: Arnepalli Umesh chandu

• Reg No: 1044

• Project Name: Object detection of image using yolo v7 algorithm

• Description: Detect the what of image in an rainy conditions of usingthe yolo v7 algorithm

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• Reg No: 1045

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• Name: Nafisakousar

• Reg No: 1046

• Project Name: TRAFFIC controlling FOR INTELLIGENT TRANSPORTATION SYSTEM USING DEEP LEARNING

• Description: To detect the vehicles in the uploaded image and counts the number of vehicles, by using YOLO model.

• Name: peddinti manoj

• Reg No: 1047

• Project Name: weather forecasting using python

• Description: The objective of weather forecasting is to predict the atmospheric conditions at a specific location and time. This involves using scientific principles and data from various sources to anticipate weather phenomena, which can include temperature, precipitation, wind, humidity, and other meteorological elements. The goals of weather forecasting.

• Name: SINGAM SATYA VAMSI

• Reg No: 1048

• Project Name: Gas Leakage Detection Using Image Processing and Machine Learning

• Description:

  • Gas leakage poses significant safety risks in various industrial, commercial, and residential settings. Timely detection of gas leaks is crucial for preventing accidents and minimizing environmental impact. In this study, we propose a novel approach for gas leakage detection leveraging image processing techniques and machine learning algorithms.
  • The proposed system involves the collection of image or video data from surveillance cameras or monitoring systems in areas susceptible to gas leaks. Preprocessing techniques are applied to enhance the quality of the collected data, including noise reduction, resizing, and normalization. Subsequently, relevant
  • features indicative of gas leaks, such as texture patterns, color distributions, and intensity gradients, are extracted from the preprocessed images.

• Name: Sravya Lalitha

• Reg No: 1049

• Project Name: Prediction of Autism Spectrum Disorder in Children using Machine Learning

• Description: This project aimed at utilizing advanced machine learning techniques to predict autism spectrum disorder in children at an early stage. So that we can use preventive methods for this disorder.

• Name: V Gayatri

• Reg No: 1050

• Project Name: Heart disease prediction

• Description: To predict if the person is having heart disease or not by verifying 13 key attributes like blood pressure,heart beat,age , etc

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• Reg No: 1051

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• Reg No: 1052

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• Name: Chamalamudi Satwik

• Reg No: 1053

• Project Name: Personality Prediction and resume parsing

• Description:

  • The program trains a Logistic Regression model offline using a separate training dataset (not shown here).
  • The user interacts with the GUI to provide their name, age, gender, and personality factors (Openness, Conscientiousness, etc.) on a scale of 1-10.
  • The program uses the trained model to predict the applicant's personality based on the provided factors.
  • The program displays the predicted personality and additional information about personality traits in a new window.

• Name: CHINTANIPPULA LAVANYA

• Reg No: 1054

• Project Name: GOLD PRICE PREDICTION USING MACHINE LEARNING

• Description: A gold price prediction project uses historical data, to forecast future gold prices. The project involves data collection, preprocessing, model development, and deployment, aiming to provide accurate predictions and valuable insights into gold price trends.

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• Reg No: 1055

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• Reg No: 1056

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• Name: K Lavanya lahari

• Reg No: 1057

• Project Name: Water quality prediction using machine learning

• Description: Water quality has a direct impact on public health and the environment. Water is used for various practices, such as drinking, agriculture, and industries.

• Name: William Carey

• Reg No: 1058

• Project Name: Disease identification,Medicine and diet recommendations system

• Description: The project identifies disease by analysing symptoms of user and recommends medicine, diet, precautions.

• Name: TIRUMAREDDY HEMANTH KUMAR

• Reg No: 1059

• Project Name: A study on proactive measures against terrorist activities through data mining

• Description: The goal of this to identify and the monitor the dissemination of terrorist related content and activities on the different internet websites using web mining.

• Name: Vana Hymavathi

• Reg No: 1060

• Project Name: Heart abnormality detection through Iris

• Description: Through Iris we can detect the heart condition

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• Reg No: 1061

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• Name: Barla Jyothsna

• Reg No: 1062

• Project Name: Automatic Number Plate Detection

• Description: This project creates a practical system for recognizing Indian vehicle number plates for individual apartments using advanced image processing techniques. It accurately reads plates in various challenging conditions and securely stores the data for efficient vehicle management and enhanced security. Designed for simplicity and reliability, it improves convenience for residents.

• Name: Bondada Sravani

• Reg No: 1063

• Project Name: Credit Card Fraud Detection

• Description: Credit card fraud detection using machine learning refers to the use of machine learning algorithms to detect fraudulent

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• Reg No: 1064

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• Name: Sharon kandikatla

• Reg No: 1065

• Project Name: Detection of phishing websites using Machine learning

• Description: The URLs received by the user will be given input to the machine learning model then the algorithm will process the input and display the output whether it is phishing or legitimate. There are various ML algorithms like SVM, Neural Networks, Random Forest, Decision Tree, XG boost etc.

• Name: TAMADA BHUVANESHWARI

• Reg No: 1066

• Project Name: ROAD DAMAGE DETECTION

• Description: The goal of our project is to design a pothole detection system which assists the driver in avoiding potholes on the roads, by giving him prior warnings. Due to weather Conditions, improper construction and overloading of vehicles the road are getting damaged.

• Name: Teddu Eswar

• Reg No: 1067

• Project Name: Secure file storage on cloud

• Description: The file is encrypted with symmetric key for secure file storage and later it is encrypted with recipient's public key.then the recipient can ensure that only permitted parties can decrypt the symmetric key with their private key.

• Name: Tekumalla krishna sai priya

• Reg No: 1068

• Project Name: Loan approval prediction

• Description: Some of the methods used here to predict are Naive bayes, Logistic Regression, Support Vector Machine, Classification, Random Forest. So based on the accuracy of these used algorithms we can predict the loan approval easily.