Students IEEE Projects in Python
We provide the best IEEE projects. Here we have given top python IEEE project titles. Also, we provide new python IEEE projects. We provide also python application projects to all college students.
PYTHON IEEE PROJECTS 2022-2023 | |||||
S.N | P.CODE | PROJECT TITLE | DOMAIN | ALGORITHM / MODEL USED | TECHNOLOGY |
1 | JPPY2201 | A Contemporary Technique for Lung Disease Prediction using Deep Learning | Deep Learning | VGG16 Architecture | Python |
2 | JPPY2202 | Automated Bird Species Identification using Audio Signal Processing and Neural Network | Deep Learning | Artificial Neural Networks model (ANN model) | Python |
3 | JPPY2203 | Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods | Deep Learning | MobileNet Architecture | Python |
4 | JPPY2204 | Detection of Stress in IT Employees using Machine Learning Technique | Deep Learning | CNN Model Architecture | Python |
5 | JPPY2205 | Electricity Theft Detection in Smart Grids Based on Deep Neural Network | Deep Learning | Artificial Neural Network (ANN) | Python |
6 | JPPY2206 | Fine-Grained Food Classification Methods on the UEC FOOD-100 Database | Deep Learning | MobileNet Architecture | Python |
7 | JPPY2207 | Identification of Fake Indian Currency using Convolutional Neural Network | Deep Learning | Xception Architecture | Python |
8 | JPPY2208 | Parkinson’s Disease Detection Using Machine Learning | Deep Learning | Xception Architecture | Python |
9 | JPPY2209 | Pneumonia Detection using Deep Learning | Deep Learning | VGG16 Architecture | Python |
10 | JPPY2210 | Plant Disease Detection and Classification Using Machine Learning Algorithm | Deep Learning | InceptionV3 Architecture | Python |
11 | JPPY2211 | Rice Leaf Disease Prediction Using Machine Learning | Deep Learning | MobileNetV2 Architecture | Python |
12 | JPPY2212 | Soil Analysis and Crop Recommendation using Machine Learning | Deep Learning | MobileNetV2 Architecture | Python |
13 | JPPY2213 | Speech Emotion Recognition using Machine Learning | Deep Learning | Artificial Neural Network model (ANN model) | Python |
14 | JPPY2214 | A Deep Prediction of Chronic Kidney Disease by Employing Machine Learning Method | Machine Learning | Artificial Neural Network (ANN) | Python |
15 | JPPY2215 | A Machine Learning Based Approach for Wine Quality Prediction | Machine Learning | Random Forest Classifier | Python |
16 | JPPY2216 | Air Quality Prediction Based on Machine Learning | Machine Learning | Random Forest Classifier | Python |
17 | JPPY2217 | A Machine Learning-based Approach for Crop Yield Prediction and Fertilizer Recommendation | Machine Learning | ExtraTreesRegressor, GaussianNB | Python |
18 | JPPY2218 | Intrusion Detection System Using Improved Convolution Neural Network | Machine Learning | Decision Tree Classifier | Python |
19 | JPPY2219 | Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms | Machine Learning | Gradient Boosting Classifier | Python |
20 | JPPY2220 | Crime Against Women Analysis & Prediction in India Using Supervised Regression | Machine Learning | Python | |
21 | JPPY2221 | Crypto-Currency Price Prediction using Machine Learning | Machine Learning | Random Forest Regressor | Python |
22 | JPPY2222 | Detection of Cyberbullying Using Machine Learning and Deep Learning Algorithms | Machine Learning | Python | |
23 | JPPY2223 | Detection of Phishing Websites Using Machine Learning | Machine Learning | Python | |
24 | JPPY2224 | Edible and Poisonous Mushrooms Classification by Machine Learning Algorithms | Machine Learning | Decision Tree Classifier | Python |
25 | JPPY2225 | Efficient Thyroid Disease Prediction using Features Selection and Meta-Classifiers | Machine Learning | Decision Tree Classifier | Python |
26 | JPPY2226 | Fake Product Review Detection Using Machine Learning | Machine Learning | Python | |
27 | JPPY2227 | Fake Profile Identification in Social Network using Machine Learning and NLP | Machine Learning | Python | |
28 | JPPY2228 | Fraud Detection and Analysis for Insurance Claim using Machine Learning | Machine Learning | Random Forest Classifier | Python |
29 | JPPY2229 | Heart Disease Prediction using Machine Learning and Data Analytics Approach | Machine Learning | Artificial Neural Network (ANN) | Python |
30 | JPPY2230 | InteliCrop: An Ensemble Model to Predict Crop using Machine Learning Algorithms | Machine Learning | Ensemble Model (VotingClassifier). Used three algorithm 1) Random Forest Classifier, 2) Logistic Regression, 3) Gradient Boosting Classifier | Python |
31 | JPPY2231 | Liver disease prediction using Ensemble Technique | Machine Learning | .Gradient Boosting Classifier + AdaBoost Classifier (Ensemble Technique) | Python |
32 | JPPY2232 | Prediction of Parkinson’s disease using XGBoost | Machine Learning | Random Forest Classifier | Python |
33 | JPPY2233 | Prediction Of Used Car Prices Using Artificial Neural Networks And Machine Learning | Machine Learning | Decision Tree Regressor | Python |
34 | JPPY2234 | Fraud Detection on Bank Payments Using Machine Learning | Machine Learning | Python | |
35 | JPPY2235 | Toxic Speech Classification using Machine Learning Algorithms | Machine Learning | Random Forest Classifier | Python |
36 | JPPY2236 | Traffic Accident Risk Prediction Using Machine Learning | Machine Learning | Python | |
37 | JPPY2237 | Water Quality Classification Using SVM And XGBoost Method | Machine Learning | Gradient Boosting Classifier | Python |