The document lists 50 major Python projects across different domains including deep learning (DL), machine learning (ML), blockchain, and Django. The projects deal with topics such as computer vision, NLP, healthcare, finance, and more. They involve building models for tasks like image classification, object detection, sentiment analysis, fraud detection, and process automation using techniques like convolutional neural networks, random forests, and blockchain. Venkat Java Projects provides services for developing such projects.
2021 python projects list
A BI-OBJECTIVE HYPER-HEURISTIC SUPPORT VECTOR MACHINES FOR BIG DATA CYBER-SECURITY
AN ARTIFICIAL INTELLIGENCE AND CLOUD BASED COLLABORATIVE PLATFORM FOR PLANT DISEASE IDENTIFICATION, TRACKING AND FORECASTING FOR FARMERS
Ready Made Projects Available Here Projects On ML, DL, AI, Java, Cloud Computing , Python ,Image Processing , Distributed Systems & Parallel Processing Further details Can Call me 9581211810
Stock Inventory Management System Project Report Contents ...
https://www.coursehero.com › file › Project-Report
View Lab Report - Project Report from SWE 102 at Mehran University of Engineering and Technology. Stock Inventory Management System Project Report Contents ...
In this article, we will explore an exciting project in the field of machine learning. We delve into the fascinating world of IEEE Machine Learning and discuss its implications for various industries. Stay tuned as we uncover the latest advancements and applications in this rapidly evolving field. Get ready to embark on a journey of discovery as we unravel the mysteries of machine learning through the lens of this groundbreaking project.
2021 python projects list
A BI-OBJECTIVE HYPER-HEURISTIC SUPPORT VECTOR MACHINES FOR BIG DATA CYBER-SECURITY
AN ARTIFICIAL INTELLIGENCE AND CLOUD BASED COLLABORATIVE PLATFORM FOR PLANT DISEASE IDENTIFICATION, TRACKING AND FORECASTING FOR FARMERS
Ready Made Projects Available Here Projects On ML, DL, AI, Java, Cloud Computing , Python ,Image Processing , Distributed Systems & Parallel Processing Further details Can Call me 9581211810
Stock Inventory Management System Project Report Contents ...
https://www.coursehero.com › file › Project-Report
View Lab Report - Project Report from SWE 102 at Mehran University of Engineering and Technology. Stock Inventory Management System Project Report Contents ...
In this article, we will explore an exciting project in the field of machine learning. We delve into the fascinating world of IEEE Machine Learning and discuss its implications for various industries. Stay tuned as we uncover the latest advancements and applications in this rapidly evolving field. Get ready to embark on a journey of discovery as we unravel the mysteries of machine learning through the lens of this groundbreaking project.
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Website : www.venkatprojects.com
Hi every one, This is Venkat Innovative Projects!!! youtube Channel, please Subscribe this Channel and get latest updates on Academic Projects For B.tech/BE, M.Tech/ME, MCA, M.Sc, Diploma Students and Assignments .
OUR SERVICES
( 1 ) We offer academic projects to BE - BTECH , ME - MTECH , MCA , DIPLOMA and PHD students
( 2 ) we offer MASTERS ASSIGNMENTS TO UK , USA , AUSTRALIA , CANADA AND CHINA students
( 3 ) we offer Assignment Writing , Paper Writing , Article Writing , Journal Writing , Case Study Writing , Essay Writing , Synopsis Writing , Thesis Writing
( 4) we offer Plagiarism Checking , Grammar Checking , Proof Reading , Manuscript Review , Conference Paper , Seminar Presentation , Survey Paper
CONTACT DETAILS :
Venkat Innovative Projects
Flat No 301, Kamala Nivas, Road Number-3, Kamala Nagar, Dilsukhnagar, Hyderabad, 500060
Phone And WhatsApp : +91 9966499110,9573201550
Email :venkatjavaprojects@gmail.com
Website : www.venkatprojects.com
Similar to 2022 PYTHON MAJOR PROJECTS LIST.docx (20)
10.sentiment analysis of customer product reviews using machine learniVenkat Projects
10.sentiment analysis of customer product reviews using machine learning In this project author is detecting sentiments from amazon reviews by using various machine learning algorithms such as SVM, Decision Tree and Naïve Bayes. In all 3 algorithms SVM is giving better accuracy and to train this algorithms author has used AMAZON reviews dataset and this dataset is saved inside ‘Amazon_Reviews_dataset’ folder. Below screen shot show example reviews from dataset
9.data analysis for understanding the impact of covid–19 vaccinations on the ...Venkat Projects
9.data analysis for understanding the impact of covid–19 vaccinations on the society
In this paper author analysing vaccines dataset to forecast required vaccines compare to manufacturing or available vaccines and by using this forecasting manufacturers may increase and decrease their manufacturing quantity. This forecasting can impact society by taking decision on manufacturing vaccines and if in society more cases occurred then forecasting will be high and by seeing forecasting manufacturers may increase production.
Vaccines are manufacturing by multiple manufacturers such as JOHNSON AND JOHNSON, PFIZER and many more. In this forecasting will take all manufacturers and their production quantity as well as usage of vaccines and based on this Machine Learning algorithm called Decision Tree will forecast require vaccines for next 30 days
To implement this project we are using vaccines dataset to train decision tree algorithm and then this algorithm will predict require vaccines quantity for next 30 days. This dataset is saved inside ‘Dataset’ folder and below screen showing some records from dataset
6.iris recognition using machine learning techniqueVenkat Projects
In this project to recognize person from IRIS we are using CASIA IRIS dataset which contains images from 108 peoples and by using this dataset we are training CNN model and then we can use this CNN model to predict/recognize persons. To train CNN model we are extracting IRIS features by using HoughCircles algorithm which extract IRIS circle from eye images. Below screen shots showing dataset with person id and this dataset saved inside ‘CASIA1’ folder
4.detection of fake news through implementation of data science applicationVenkat Projects
In this project we are using LSTM (Long Short Term Memory) Recurrent Neural Network to predict fake news as huge amount of fake news is gathering in all types of media such as social media or news media and to detect fake news author is training LSTM neural network with past news data label as ‘Genuine’ and ‘Fake’. We downloaded available twitter FAKE NEWS tweets from internet and below is the dataset screen shots
Cosmetic shop management system project report.pdfKamal Acharya
Buying new cosmetic products is difficult. It can even be scary for those who have sensitive skin and are prone to skin trouble. The information needed to alleviate this problem is on the back of each product, but it's thought to interpret those ingredient lists unless you have a background in chemistry.
Instead of buying and hoping for the best, we can use data science to help us predict which products may be good fits for us. It includes various function programs to do the above mentioned tasks.
Data file handling has been effectively used in the program.
The automated cosmetic shop management system should deal with the automation of general workflow and administration process of the shop. The main processes of the system focus on customer's request where the system is able to search the most appropriate products and deliver it to the customers. It should help the employees to quickly identify the list of cosmetic product that have reached the minimum quantity and also keep a track of expired date for each cosmetic product. It should help the employees to find the rack number in which the product is placed.It is also Faster and more efficient way.
Welcome to WIPAC Monthly the magazine brought to you by the LinkedIn Group Water Industry Process Automation & Control.
In this month's edition, along with this month's industry news to celebrate the 13 years since the group was created we have articles including
A case study of the used of Advanced Process Control at the Wastewater Treatment works at Lleida in Spain
A look back on an article on smart wastewater networks in order to see how the industry has measured up in the interim around the adoption of Digital Transformation in the Water Industry.
CFD Simulation of By-pass Flow in a HRSG module by R&R Consult.pptxR&R Consult
CFD analysis is incredibly effective at solving mysteries and improving the performance of complex systems!
Here's a great example: At a large natural gas-fired power plant, where they use waste heat to generate steam and energy, they were puzzled that their boiler wasn't producing as much steam as expected.
R&R and Tetra Engineering Group Inc. were asked to solve the issue with reduced steam production.
An inspection had shown that a significant amount of hot flue gas was bypassing the boiler tubes, where the heat was supposed to be transferred.
R&R Consult conducted a CFD analysis, which revealed that 6.3% of the flue gas was bypassing the boiler tubes without transferring heat. The analysis also showed that the flue gas was instead being directed along the sides of the boiler and between the modules that were supposed to capture the heat. This was the cause of the reduced performance.
Based on our results, Tetra Engineering installed covering plates to reduce the bypass flow. This improved the boiler's performance and increased electricity production.
It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
Work done in cooperation with James Malloy and David Moelling from Tetra Engineering.
More examples of our work https://www.r-r-consult.dk/en/cases-en/
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
Sachpazis:Terzaghi Bearing Capacity Estimation in simple terms with Calculati...Dr.Costas Sachpazis
Terzaghi's soil bearing capacity theory, developed by Karl Terzaghi, is a fundamental principle in geotechnical engineering used to determine the bearing capacity of shallow foundations. This theory provides a method to calculate the ultimate bearing capacity of soil, which is the maximum load per unit area that the soil can support without undergoing shear failure. The Calculation HTML Code included.
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Final project report on grocery store management system..pdfKamal Acharya
In today’s fast-changing business environment, it’s extremely important to be able to respond to client needs in the most effective and timely manner. If your customers wish to see your business online and have instant access to your products or services.
Online Grocery Store is an e-commerce website, which retails various grocery products. This project allows viewing various products available enables registered users to purchase desired products instantly using Paytm, UPI payment processor (Instant Pay) and also can place order by using Cash on Delivery (Pay Later) option. This project provides an easy access to Administrators and Managers to view orders placed using Pay Later and Instant Pay options.
In order to develop an e-commerce website, a number of Technologies must be studied and understood. These include multi-tiered architecture, server and client-side scripting techniques, implementation technologies, programming language (such as PHP, HTML, CSS, JavaScript) and MySQL relational databases. This is a project with the objective to develop a basic website where a consumer is provided with a shopping cart website and also to know about the technologies used to develop such a website.
This document will discuss each of the underlying technologies to create and implement an e- commerce website.
1. Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
2022 PYTHON MAJOR PROJECTS LIST
S.NO PROJECT TITLE DOMAIN
1 AUTOMATIC DETECTION OF DIABETIC
RETINOPATHY USING CNN
DL
2 OPTIMISED STACKED ENSEMBLE
TECHNIQUES IN THE PREDICTION OF
CERVICAL CANCER USING SMOTE AND
RFERF
ML
3 APPLICATION AND EVALUATION OF A K-
MEDOIDSBASED SHAPE CLUSTERING
METHOD FOR AN ARTICULATED DESIGN
SPACE
NETWORKING
4 LOCAL DYNAMIC NEIGHBORHOOD BASED
OUTLIER DETECTION APPROACH AND ITS
FRAMEWORK FOR LARGE-SCALE DATASETS
ML
5 WATERMARKING IMAGES DL
6 A FOREST FIRE IDENTIFICATION METHOD
FOR UNMANNED AERIAL VEHICLE
MONITORING VIDEO IMAGES
DL
7 IMAGE FORGERY DETECTION BASED ON
FUSION OF LIGHTWEIGHT DEEP LEARNING
MODELS
DL
8 GEO TRACKING OF WASTE AND TRIGGERING
ALERTS AND MAPPING AREAS WITH HIGH
WASTE INDEX
DL
9 IMPLEMENTATION OF BLOCKCHAIN IN
FINANCIAL SECTOR TO IMPROVE
SCALABILITY
BLOCKCHAIN
10 ATTENDANCE CAPTURE SYSTEMUSING FACE
RECOGNITION
DL
11 TRAFFIC RULES VIOLATION DETECTION
SYSTEM
DL
12 BLOCKCHAIN BASED MILK DELIVERY
PLATFORM FOR STALLHOLDER DAIRY
FARMERS IN KENYA ENFORCING
BLOCKCHAIN
2. Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
TRANSPARENCY AND FAIR PAYMENT
13 BLOCKCHAIN BASED ECOMMERCE ONLINE
APPLICATION
BLOCKCHAIN
14 AN INTELLIGENT DATA-DRIVEN MODEL TO
SECURE INTRAVEHICLE COMMUNICATIONS
BASED ON MACHINE LEARNING
ML
15 RETINA BLOOD VESSEL SEGMENTATION
WITH A CONVOLUTION NEURAL NETWORK
(U-NET)
DL
16 PHISHING EMAIL DETECTION USING CNN DL
17 BLOCKCHAIN FOR FINANCIAL APPLICATION BLOCKCHAIN
18 INTELLIGENT AGENT BASED JOB SEARCH
SYSTEM
DJANGO
19 COMPARATIVE STUDY OF MACHINE
LEARNING ALGORITHMS FOR FRAUD
DETECTION IN BLOCKCHAIN
BLOCKCHAIN
20 PREDICTINGSTOCKMARKET TRENDS USING
MACHINE LEARNING AND DEEP LEARNING
ALGORITHMS VIA CONTINUOUS AND BINARY
DATA A COMPARATIVE ANALYSIS
ML
21 DEEP LEARNING FOR SMARTPHONE-BASED
MALARIA PARASITE DETECTION IN THICK
BLOOD SMEARS
DL
22 A NOVEL METHOD FOR COMPUTATIONALLY
EFFICACIOUS LINEAR AND POLYNOMIAL
REGRESSION ANALYTICS OF BIG DATA IN
MEDICINE
ML
23 ON THE IMPLEMENTATION OF A SECURED
WATERMARKING MECHANISM BASED ON
CRYPTOGRAPHY AND BIT PAIRS MATCHING
DL
24 EMAIL SPAM DETECTION USING MACHINE
LEARNING ALGORITHMS
ML
25 EFFICIENTDET: SCALABLE AND EFFICIENT
OBJECT DETECTION
DL
3. Venkat Java Projects
Mobile:+91 9966499110 Visit:www.venkatjavaprojects.com
Email:venkatjavaprojects@gmail.com
26 DEEP CROSS-MODAL FACE NAMING FOR
PEOPLE NEWS RETRIEVAL
DL
27 PLANT DISEASE IDENTIFICATION AND
PESTICIDES RECOMMDATION USING CNN
DL
28 TRAFFIC SIGN DETECTION AND RECOGNITION DL
29 WEB-BASED MUSIC GENRE CLASSIFICATION
FORTIMELINE SONG VISUALIZATION AND
ANALYSIS
DL
30 VIRTUAL MOUSE OPERATION USING
WEBCAM
DL
31 STOCK PRICE PREDICTION USING TWITTER
DATASET
ML
32 EMOTION DETECTION USING TWITTER
DATASETS AND SPACY ALGORITHM
ML
33 VIRTUAL MOUSE OPERATION USING
WEBCAM
DL
34 STOCK PRICE PREDICTION USING TWITTER
DATASET
ML
35 EMOTION DETECTION USING TWITTER
DATASETS AND SPACY ALGORITHM
ML
36 DESIGNING SECURE AND EFFICIENT
BIOMETRIC-BASED SECURE ACCESS
MECHANISM FOR CLOUD SERVICES
ML
37 BSSPD: A BLOCKCHAIN-BASED SECURITY
SHARING SCHEME FOR PERSONALDATA
WITH FINE-GRAINED ACCESS CONTROL
BLOCK CHAIN
38 AN ENHANCED MULTI-MODAL BIOMETRIC
AUTHENTICATION
DL
39 COST AGGREGATION IS ALL YOU NEED FOR
FEW-SHOT SEGMENTATION
DL
40 WATER QUALITY MONITORING &
FORECASTING SYSTEM
ML
41 ROAD TRAFFIC VEHICLE DETECTION AND
TRACKING USING DEEP LEARNING WITH
CUSTOM-COLLECTEDAND PUBLIC DATASETS
DL