FINAL YEAR IEEE project

FINAL YEAR IEEE project We Guide you for your final year projects. IEEE or Non-IEEE or Research Projects or International Jo

📌Project Title: Fruit Quality Detection using Deep Learning for Rotten and Fresh Fruits Classification.💡Implementation C...
13/03/2025

📌Project Title: Fruit Quality Detection using Deep Learning for Rotten and Fresh Fruits Classification.
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: InceptionResNetV2 Architecture, MobileNetV2 Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/fruit-quality-detection-using-deep-learning/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Learn how the Python project 'Fruit Quality Detection using Deep Learning for Rotten and Fresh Fruits Classification' revolutionizes fruit grading

📌Project Title: Cervical Cancer Prediction and Classification Using Deep Learning on Medical Image Data.💡Implementation ...
12/03/2025

📌Project Title: Cervical Cancer Prediction and Classification Using Deep Learning on Medical Image Data.
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: Xception Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/cervical-cancer-prediction-and-classification-using-deep-learning/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Explore a Python project: Cervical Cancer Prediction and Classification Using Deep Learning on Medical Image Data with accurate diagnosis capabilities.

📌Project Title: Automated Knee Osteoarthritis Prediction and Classification from X-ray Images Using Deep Learning.💡Imple...
11/03/2025

📌Project Title: Automated Knee Osteoarthritis Prediction and Classification from X-ray Images Using Deep Learning.
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: VGG16 Model, MobileNetV2 Model.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/automated-knee-osteoarthritis-prediction-and-classification-from-x-ray-images/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Explore our Python project, "Automated Knee Osteoarthritis Prediction and Classification from X-ray Images Using Deep Learning," for best healthcare.

📌Project Title: Plant Disease Detection using Deep Learning and Fertilizer Recommendation.💡Implementation Code: PYTHON.🔬...
10/03/2025

📌Project Title: Plant Disease Detection using Deep Learning and Fertilizer Recommendation.
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: InceptionV3 Architecture, MobileNetV2 Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/plant-disease-detection-using-deep-learning-and-fertilizer-recommendation/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Boost farming with Plant Disease Detection using Deep Learning and Fertilizer Recommendation, an innovative Python project for smarter agriculture.

📌Project Title: Deep Learning-Based Dual-Modal Bird Species Identification Using Audio and Images.💡Implementation Code: ...
09/03/2025

📌Project Title: Deep Learning-Based Dual-Modal Bird Species Identification Using Audio and Images.
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: Artificial Neural Networks (ANN) Model, Xception Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/deep-learning-based-dual-modal-bird-species-identification-using-audio-and-images/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Discover birds name with sound and picture using our python project: Deep Learning-Based Dual-Modal Bird Species Identification Using Audio and Images.

📌Project Title: Enhanced Breast Cancer Diagnosis Using Machine Learning on Patient Data and Deep Learning💡Implementation...
08/03/2025

📌Project Title: Enhanced Breast Cancer Diagnosis Using Machine Learning on Patient Data and Deep Learning
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: Stacking Classifier, CatBoost Classifier & DenseNet201 Architecture
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/enhanced-breast-cancer-diagnosis-using-machine-learning-on-patient-data-and-deep-learning/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Discover Enhanced Breast Cancer Diagnosis Using Machine Learning on Patient Data and Deep Learning, a Python project for accurate prediction. Learn more!

📌Project Title: Deep Learning based Blood Group Detection using Fingerprint.💡Implementation Code: PYTHON.🔬Algorithm / Mo...
07/03/2025

📌Project Title: Deep Learning based Blood Group Detection using Fingerprint.
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: MobileNetV2 Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/deep-learning-based-blood-group-detection-using-fingerprint/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Discover Deep Learning based Blood Group Detection using Fingerprint, a Python project for accurate results. Start exploring innovative tech now!

📌Project Title: A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning💡Implement...
06/03/2025

📌Project Title: A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: YOLOv8 Architecture.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/a-system-for-automated-vehicle-damage-localization/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

A System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning Python project. Accurately assess vehicle damage. Try it now!

📌Project Title: Smart Diabetes Prediction System Using Machine Learning Algorithms.💡Implementation Code: PYTHON.🔬Algorit...
05/03/2025

📌Project Title: Smart Diabetes Prediction System Using Machine Learning Algorithms.
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: Stacking Classifier, ExtraTree Classifier, LGBM Classifier, CatBoost Classifier.
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/smart-diabetes-prediction-system-using-machine-learning-algorithms/

🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Discover Smart Diabetes Prediction System Using Machine Learning Algorithms, a Python project for early disease detection. Start exploring now!

📌Project Title: Health Insurance Price Prediction using Machine Learning.💡Implementation Code: PYTHON.🔬Algorithm / Model...
04/03/2025

📌Project Title: Health Insurance Price Prediction using Machine Learning.
💡Implementation Code: PYTHON.
🔬Algorithm / Model Used: Random Forest Regressor, Stacking Regressor
🌐Web Framework: Flask.
🖥️Frontend: HTML, CSS, JavaScript.

For more details:
🌐 Website: https://jpinfotech.org/health-insurance-price-prediction-using-machine-learning/
🌐E-mail: [email protected]
📞Mobile / Whatsapp: (+91)9952649690.

Explore Health Insurance Price Prediction using Machine Learning, a Python project to analyze pricing trends. Gain insights on pricing & learn more!

Address

28, Thirunavukarasar Street, Thirukurallar Nagar, Arumparthapuram
Pondicherry
605110

Opening Hours

Monday 10am - 7pm
Tuesday 10am - 7pm
Wednesday 10am - 7pm
Thursday 10am - 7pm
Friday 10am - 7pm
Saturday 10am - 7pm

Telephone

+919952649690

Alerts

Be the first to know and let us send you an email when FINAL YEAR IEEE project posts news and promotions. Your email address will not be used for any other purpose, and you can unsubscribe at any time.

Contact The Business

Send a message to FINAL YEAR IEEE project:

Share