Python Project Titles 2022 2023
Python Project Titles 2022-2023 ABOUT SHAKAS , Shakastech.com is a part of Shakas Technologies and especially organized for guiding the students for their project work as well as in career development. We provide, 1. IEEE Transaction Based Projects with necessary Solutions 2. Essential Documentation for every review 3. Technical Guidance throughout the process 4. Placement opportunities 5. Career development programs, seminars 6. We beat out prices are the best because we value your money. 7. One to one guidance to be given for each and every student 8. Own concepts also been implemented in short time Projects For Ph.D., M.Phil., M.E., M.Tech, MCA, M.sc., B.E., B.Tech, BCA, Diploma (All Discipline) Major projects in Software Based: DotNet, JAVA, NS2, NS3, J2EE, J2ME,MATLAB, HTML5, PHP, Angular JS, Python, Ruby and Web, Application Related Projects. Electronics Based: Embedded System, Matlab, Labview, PLC, SCADA, ..etc Domain Networking, Mobile Computing, Network Security, Data Mining, Software Engineering, Power Electronics, Network Simulation, Digital Image Processing, Digital Signal Processing, Communication, wireless communication, Adhoc Network, Vehicle Adhoc Network, Robotics, Bio-Technology, Wireless Technology, GSM, GPS, CDMA, ZIGBEE, RF, IR, Ultrasonic, CAN, Bluetooth, IR, Embedded-Matlab,.Etc., Languages Used VB.Net, JAVA, PHP, KEIL, COBOL, PASCAL, PROLOG, PYTHON, PL/SQL, PERL, Ruby, TCL, T-SQL, VERILOG, VHDL, C,C++, C#, VB, HTML. Platform IBM Mainframes , Linux Pc’s, Mac OSXP’S, Microsoft.Net, Symbian OS, Windows Pcs (Wintel), JDK. Thanks & Regards, Shakas Technologies #11/A 2nd East Main Road, Gandhi Nagar, Vellore - 632006. Mobile : +91-9500218218 | land line- 0416- 3552723 Shakas Training & Development | Shakas Sales & Services | Shakas Educational Trust |IEEE projects | Research & Development | Journal Publication | Email : info@shakastech.com | shakastech@gmail.com | website: www.shakastech.com Facebook: https://www.facebook.com/pages/Shakas-Technologies
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Python Project Titles 2022 2023
- 1. PYTHON (MACHINE LEARNING, DEEP LEARNING, AI) IEEE Projects 2022 – 2022 S.No. Project Code IEEE 2022 PYTHON Project Titles Domain Lang/Year 1 STPY2201 A Road Accident Prediction Model Using Data Mining Techniques Machine Learning PYTHON/2022 2 STPY2202 A Systematic Review of Predicting Elections Based on Social Media Data Machine Learning PYTHON/2022 3 STPY2203 Agricultural Crop Recommendations based on Productivity and Season Machine Learning PYTHON/2022 4 STPY2204 An Efficient Spam Detection Technique for IoT Devices Using Machine Learning Machine Learning PYTHON/2022 5 STPY2205 Chronic Kidney Disease Stage Identification in HIV Infected Patients using Machine Learning Machine Learning PYTHON/2022 6 STPY2206 COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis Machine Learning PYTHON/2022 7 STPY2207 Crop Recommender System Using Machine Learning Approach Machine Learning PYTHON/2022 8 STPY2208 Detecting Fake Reviews Using Multidimensional Representations With Fine-Grained Aspects Plan Machine Learning PYTHON/2022 9 STPY2209 Detection of Cyberbullying on Social Media Using Machine learning Machine Learning PYTHON/2022 10 STPY2210 Diabetes Disease Prediction Using Machine Learning Algorithms Machine Learning PYTHON/2022 11 STPY2211 Emotion Recognition by Textual Tweets Classification Using Voting Classifier (LR-SGD) Machine Learning PYTHON/2022 12 STPY2212 Crime Type and Occurrence Prediction Using Machine Learning Algorithm Machine Learning PYTHON/2022 13 STPY2213 Machine Learning Based Heart Disease Prediction System Machine Learning PYTHON/2022 14 STPY2214 Naïve Bayes Classifier for Predicting the Novel Coronavirus Machine Learning PYTHON/2022 15 STPY2215 Potato Disease Detection Using Machine Learning Machine Learning PYTHON/2022 16 STPY2216 WELFake: Word Embedding Over Linguistic Features for Fake News Detection Machine Learning PYTHON/2022 17 STPY2217 Drug Recommendation System based on Sentiment Analysis of Drug Reviews using Machine Learning Machine Learning PYTHON/2022
- 2. 18 STPY2218 Predictive Analysis for Big Mart Sales Using Machine Learning Algorithms Machine Learning PYTHON/2022 19 STPY2219 Primary Stage of Diabetes Prediction using Machine Learning Approaches Machine Learning PYTHON/2022 20 STPY2220 Prediction of Modernized Loan Approval System Based on Machine Learning Approach Machine Learning PYTHON/2022 22 STPY2222 A Comparative Study on Fake Job Post Prediction Using Different Data mining Techniques Deep Learning PYTHON/2022 22 STPY2222 A Lightweight Convolutional Neural Network for Real-Time Facial Expression Detection Deep Learning PYTHON/2022 23 STPY2223 Brain Tumour Detection Using Deep Learning Deep Learning PYTHON/2022 24 STPY2224 Classification of Malaria-Infected Cells using Convolutional Neural Networks Deep Learning PYTHON/2022 25 STPY2225 Deep Cross-modal Face Naming for People News Retrieval Deep Learning PYTHON/2022 26 STPY2226 Diabetic Retinopathy Detection by means of Deep Learning Deep Learning PYTHON/2022 27 STPY2227 Diagnosis of COVID-19 from Chest X-Ray Images Using Wavelets-Based Depthwise Convolution Network Deep Learning PYTHON/2022 28 STPY2228 Handwritten Digit Recognition Using CNN Deep Learning PYTHON/2022 29 STPY2229 Hybrid Transfer Learning and Broad Learning System for Wearing Mask Detection In the COVID-19 Era Deep Learning PYTHON/2022 30 STPY2230 License Plate Detection Methods Based on OpenCV Deep Learning PYTHON/2022 31 STPY2231 A Study on a Car Insurance Purchase Prediction Using Machine Learning Machine Learning PYTHON/2022 32 STPY2232 Melanoma Detection Using Convolutional Neural Network Deep Learning PYTHON/2022 33 STPY2233 Real-Time Drowsiness Identification based on Eye State Analysis Deep Learning PYTHON/2022 34 STPY2234 Tomato Leaf Disease Identification by Restructured Deep Residual Dense Network Deep Learning PYTHON/2022 35 STPY2235 Traffic Sign Board Recognition and Voice Alert System using Convolutional Neural Network Artificial Intelligence PYTHON/2022 #11, 1st Floor, 2nd East Main Road, Gandhi Nagar, Vellore – 6. Off: 0416-3552723 Mo: +91 9500218218 Website: www.shakastech.com, Email - id: shakastech@gmail.com, info@shakastech.com