AI based projects
Artificial Intelligence (AI) is improving in decision making and streamlining techniques across more than a few sectors. At Takeoff Projects, we have a considerable portfolio of AI based projects, together with works in system studying, natural language processing, and computer vision and prescient. By completing those projects, you could gain hands on experience with practical applications which includes chatbots, photo reputation, and predictive analytics. Takeoff Projects affords thorough documentation, source code, and easy to follow instructions for every challenge to provide a thorough knowledge of AI standards and help professionals and college students alike in staying ahead of the rapidly developing field of artificial intelligence.
Project Code: TMMAAI367
Project Title:Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor ClassificationView DetailsProject Code: TMMAAI374
Project Title:Comparative Analysis of Fingerprint Authentication Using the Convolutional Neural Network (CNN) Method for Two DatasetsView DetailsProject Code: TMMAAI381
Project Title:Detection of Acute Lymphoblastic Leukemia Using a Novel Bone Marrow Image SegmentationView DetailsProject Code: TMMAAI382
Project Title:Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering TechniqueView DetailsProject Code: TMMAAI373
Project Title:Semantic Segmentation of Brain Tumor from MRI Images and SVM Classification using GLCM FeaturesView DetailsProject Code: TMMAAI366
Project Title:Wafer defect localization and classification using deep learning techniquesView DetailsProject Code: TMMAAI282
Project Title:Fake Currency Detection with Machine Learning Algorithm and Image ProcessingView DetailsProject Code: TMMAAI283
Project Title:UNDERWATER IMAGE ENHANCEMENT USING LAPLACE DECOMPOSITION AND YOLOV2 OBJECT DETECTIONView DetailsProject Code: TMMAAI284
Project Title:BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNINGView DetailsProject Code: TMMAAI285
Project Title:ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER DETECTIONView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMAAI367 | Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image ... | |
| 2 | TMMAAI374 | Comparative Analysis of Fingerprint Authentication Using the Convoluti... | |
| 3 | TMMAAI381 | Detection of Acute Lymphoblastic Leukemia Using a Novel Bone Marrow Im... | |
| 4 | TMMAAI382 | Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Cl... | |
| 5 | TMMAAI373 | Semantic Segmentation of Brain Tumor from MRI Images and SVM Classific... | |
| 6 | TMMAAI366 | Wafer defect localization and classification using deep learning techn... | |
| 7 | TMMAAI282 | Fake Currency Detection with Machine Learning Algorithm and Image Proc... | |
| 8 | TMMAAI283 | UNDERWATER IMAGE ENHANCEMENT USING LAPLACE DECOMPOSITION AND YOLOV2 OB... | |
| 9 | TMMAAI284 | BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNING | |
| 10 | TMMAAI285 | ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER D... |
Project Code: TMMAAI367
Project Title:Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image Enhancement and Tumor ClassificationView DetailsProject Code: TMMAAI374
Project Title:Comparative Analysis of Fingerprint Authentication Using the Convolutional Neural Network (CNN) Method for Two DatasetsView DetailsProject Code: TMMAAI381
Project Title:Detection of Acute Lymphoblastic Leukemia Using a Novel Bone Marrow Image SegmentationView DetailsProject Code: TMMAAI382
Project Title:Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Clustering TechniqueView DetailsProject Code: TMMAAI373
Project Title:Semantic Segmentation of Brain Tumor from MRI Images and SVM Classification using GLCM FeaturesView DetailsProject Code: TMMAAI366
Project Title:Wafer defect localization and classification using deep learning techniquesView DetailsProject Code: TMMAAI282
Project Title:Fake Currency Detection with Machine Learning Algorithm and Image ProcessingView DetailsProject Code: TMMAAI283
Project Title:UNDERWATER IMAGE ENHANCEMENT USING LAPLACE DECOMPOSITION AND YOLOV2 OBJECT DETECTIONView DetailsProject Code: TMMAAI284
Project Title:BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNINGView DetailsProject Code: TMMAAI285
Project Title:ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER DETECTIONView Details S.no | Project Code | Project Name | Action |
|---|---|---|---|
| 1 | TMMAAI367 | Optimized Brain Tumor Detection: A Dual-Module Approach for MRI Image ... | |
| 2 | TMMAAI374 | Comparative Analysis of Fingerprint Authentication Using the Convoluti... | |
| 3 | TMMAAI381 | Detection of Acute Lymphoblastic Leukemia Using a Novel Bone Marrow Im... | |
| 4 | TMMAAI382 | Early Diagnosis of Alzheimer’s Disease Using Adaptive Neuro K-Means Cl... | |
| 5 | TMMAAI373 | Semantic Segmentation of Brain Tumor from MRI Images and SVM Classific... | |
| 6 | TMMAAI366 | Wafer defect localization and classification using deep learning techn... | |
| 7 | TMMAAI282 | Fake Currency Detection with Machine Learning Algorithm and Image Proc... | |
| 8 | TMMAAI283 | UNDERWATER IMAGE ENHANCEMENT USING LAPLACE DECOMPOSITION AND YOLOV2 OB... | |
| 9 | TMMAAI284 | BLOOD GROUP DETECTION USING IMAGE PROCESSING & MACHINE LEARNING | |
| 10 | TMMAAI285 | ADAPTIVE FLAME BASED SEGMENTATION AND CLASSIFICATION FOR BONE CANCER D... |
You can reach your greatest potential with Takeoff Edu Group AI-based projects. Students will have hands on experience with leading technologies including machine learning, computer vision, and natural language processing. You'll gain practical skills and perceptive knowledge to boost your resume value and prepare for future IT opportunities. Takeoff Edu Group provides expert mentorship, detailed project documentation, and a supportive learning environment. Join us today and excel in the competitive field of AI with our customized projects.
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Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
