AI-Based Projects
AI-Based Projects
Embedded Files
1) Graph Neural Network: A Powerful Tool for Network-Structured Data Analysis || Project Link || Outcome: Reduced complexity, Optimized Performance, capturing dependencies, Inductive Learning || Language: Python, API used:Keras
1) Graph Neural Network: A Powerful Tool for Network-Structured Data Analysis || Project Link || Outcome: Reduced complexity, Optimized Performance, capturing dependencies, Inductive Learning || Language: Python, API used:Keras
2) Advancing Leukemia Diagnosis and Stagging: Image Processing and Transformer-Based Staging Analysis || Project Link || Outcome: Reduced Resource Dependence, Non-Invasive and Faster Procedures, Handling Large-Scale Data || Language: Python, Framework: TensorFlow, API used: Keras.
2) Advancing Leukemia Diagnosis and Stagging: Image Processing and Transformer-Based Staging Analysis || Project Link || Outcome: Reduced Resource Dependence, Non-Invasive and Faster Procedures, Handling Large-Scale Data || Language: Python, Framework: TensorFlow, API used: Keras.
3) University Portal for Admin and Students Management || Project Link || Outcome: The University Portal for Admin and Students Management system can be used by educational institutions to maintain their student records easily. Achieving this objective is difficult using the manual system as the information is scattered, can be redundant, and collecting relevant information may be very time-consuming. All these problems are solved by this project. || Language: PHP, SQL, HTML, CSS, Bootstrap. Software: Git, Bash Scripting, Visual Studio, phpMyAdmin server.
3) University Portal for Admin and Students Management || Project Link || Outcome: The University Portal for Admin and Students Management system can be used by educational institutions to maintain their student records easily. Achieving this objective is difficult using the manual system as the information is scattered, can be redundant, and collecting relevant information may be very time-consuming. All these problems are solved by this project. || Language: PHP, SQL, HTML, CSS, Bootstrap. Software: Git, Bash Scripting, Visual Studio, phpMyAdmin server.
4) Building Secure Federated Learning Frameworks with Data Encryption-Decryption || Project Link || Outcome: Decentralized Data Storage, FerNet encryption, Scalable Learning || Language : Python, Framework : pytorch and tesnorflow || API: Flower, Keras.
4) Building Secure Federated Learning Frameworks with Data Encryption-Decryption || Project Link || Outcome: Decentralized Data Storage, FerNet encryption, Scalable Learning || Language : Python, Framework : pytorch and tesnorflow || API: Flower, Keras.
5) Manual Segmentation Projects: Lung CT scan segmentation. CXR segmentation, Blood cell segmentation, Skin Cancer segmentation || Project Link || Outcome: Enhanced Image Processing, Improved Detection, Accurate Identification of Pathologies, Reduced clinical workload, Improved AI-Based Diagnostic Tool. || Language: Python. || Libraries: NumPy, Pandas, matplotlib, and Scikit-learn
5) Manual Segmentation Projects: Lung CT scan segmentation. CXR segmentation, Blood cell segmentation, Skin Cancer segmentation || Project Link || Outcome: Enhanced Image Processing, Improved Detection, Accurate Identification of Pathologies, Reduced clinical workload, Improved AI-Based Diagnostic Tool. || Language: Python. || Libraries: NumPy, Pandas, matplotlib, and Scikit-learn
6) Segmentation and GraphPointNet-Based Classification of GGO for COVID-19 Staging Analysis. Project link || Outcome: Quantification of Lung Damage, 3D view from point cloud, Depth analysis from GGO portion || Language : Python || Framework: Pytorch, Mayavi|| Libraries: Tripy, PlyFile, OpenMesh
6) Segmentation and GraphPointNet-Based Classification of GGO for COVID-19 Staging Analysis. Project link || Outcome: Quantification of Lung Damage, 3D view from point cloud, Depth analysis from GGO portion || Language : Python || Framework: Pytorch, Mayavi|| Libraries: Tripy, PlyFile, OpenMesh
Page updated
Report abuse