FINAL YEAR IEEE project

📌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.

Fruit Quality Detection using Deep Learning for Rotten and Fresh Fruits Classification 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 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.

Cervical Cancer Prediction and Classification Using Deep Learning on Medical Image Data 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.
💡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.

Automated Knee Osteoarthritis Prediction and Classification from X-ray Images Using Deep Learning 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.
🔬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.

Plant Disease Detection using Deep Learning and Fertilizer Recommendation 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: 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.

Deep Learning-Based Dual-Modal Bird Species Identification Using Audio and Images 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 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.

Enhanced Breast Cancer Diagnosis Using Machine Learning on Patient Data and Deep Learning 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 / 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.

Deep Learning based Blood Group Detection using Fingerprint 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
💡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 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.
🔬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.

Smart Diabetes Prediction System Using Machine Learning Algorithms 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 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.

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