DataBytes-Organisation/Project-Echo
Aug 2025 – Sep 2025
2 Months active
Languages Used
PythonShell
Technical Skills
BenchmarkingDeep LearningExperimentationGitKerasMachine Learning
DeepkaranSingh
PROFILE
Deepkaransingh
During a two-month period, S224295533 developed core machine learning infrastructure for the DataBytes-Organisation/Project-Echo repository. They built a benchmarking framework and user interface in Python to evaluate ResNet50 and PANNs CNN14 models, enabling reproducible experiment workflows and rapid model comparison. Leveraging TensorFlow and Keras, S224295533 also implemented an end-to-end audio processing pipeline featuring two classification models, a configuration loader, and a dummy dataset generator. Their work established a foundation for scalable audio analytics, supporting both training and inference. The engineering demonstrated depth in deep learning, experimentation, and workflow automation, aligning with business goals of accelerating model evaluation and deployment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
490
Activity Months2
Your Network
135 people
Work History
September 2025
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered an end-to-end TensorFlow-based audio processing pipeline for DataBytes-Organisation/Project-Echo, featuring two classification models, a config loader, and a dummy dataset generator. Completed training for 5 epochs, exported model weights for deployment, and demonstrated an inference workflow, establishing a reproducible ML workflow and accelerating audio analytics capabilities.
1 Commits • 1 Features
Sep 1, 2025September 2025: Delivered an end-to-end TensorFlow-based audio processing pipeline for DataBytes-Organisation/Project-Echo, featuring two classification models, a config loader, and a dummy dataset generator. Completed training for 5 epochs, exported model weights for deployment, and demonstrated an inference workflow, establishing a reproducible ML workflow and accelerating audio analytics capabilities.
September 2025
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, DataBytes-Organisation/Project-Echo delivered a benchmarking framework and UI for evaluating ResNet50 and PANNs CNN14 models, establishing reproducible experiment workflows and enabling quick comparisons. The work included environment setup with dependencies, cloning the repository, registering new model constructors, and providing a simple UI to select and run experiments for these models. No major bugs reported this period; the work aligns with business goals of accelerating model evaluation and data-driven decision making.
August 2025
1 Commits • 1 Features
Aug 1, 2025In August 2025, DataBytes-Organisation/Project-Echo delivered a benchmarking framework and UI for evaluating ResNet50 and PANNs CNN14 models, establishing reproducible experiment workflows and enabling quick comparisons. The work included environment setup with dependencies, cloning the repository, registering new model constructors, and providing a simple UI to select and run experiments for these models. No major bugs reported this period; the work aligns with business goals of accelerating model evaluation and data-driven decision making.
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonShell
Technical Skills
Audio ProcessingBenchmarkingDeep LearningExperimentationGitKerasMachine LearningPythonTensorFlow
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