๐งฌ
Jan 2025 โ Jun 2025 ยท Major Project
Ensemble Learning & Hyperparameter Tuning โ Comparative Study
Designed and compared multiple deep learning architectures using ensemble learning techniques, improving baseline model accuracy by 8% through systematic hyperparameter optimization. Built automated model evaluation pipelines with cross-validation strategies to reduce overfitting and improve generalization on unseen data.
PythonTensorFlow
Ensemble LearningCross-ValidationHyperparameter Tuning
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๐ฆ
Aug 2024 โ Dec 2024 ยท Research
Traffic Sign Recognition โ CNN + Genetic Algorithm
Engineered a CNN-based deep learning classifier for traffic sign recognition, achieving 96% accuracy on a multi-class dataset of 43 categories. Applied genetic algorithms for automated hyperparameter tuning, reducing training computation time by 15% compared to manual grid search baselines.
PythonCNN
Genetic AlgorithmTensorFlow96% Accuracy
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๐
Aug 2024 โ Dec 2024 ยท Research
Object Detection โ CNN & Faster R-CNN
Implemented and benchmarked Faster R-CNN architectures for multi-class object detection. Optimized training pipelines to improve processing efficiency and detection mean Average Precision (mAP) across complex real-world image datasets.
PythonFaster R-CNN
CNNmAPOpenCV
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๐ค
Jan 2024 โ Jun 2024
AI-Powered Code Review Assistant
Developed an NLP-driven automated code review tool capable of detecting bugs and code quality issues, reducing manual review time by ~40%. Implemented static analysis pipelines and generated automated fix suggestions, improving developer productivity across 3 simulated project codebases.
PythonNLP
Static AnalysisAutomation40% Time Saved
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๐
Aug โ Sep 2024 ยท NullClass Internship
Real-Time Emotion Detection System
Built a real-time emotion detection pipeline for live video streams using Python, TensorFlow, and OpenCV. Optimized preprocessing to reduce latency by 30%, then integrated via REST API for production deployment with improved throughput.
PythonTensorFlow
OpenCVREST API30% Latency โ
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๐
Jul โ Oct 2024 ยท Web Internship
Responsive Web Application Suite
Developed and deployed 4+ fully responsive web applications with cross-browser compatibility and mobile-first design. Implemented modular UI components reducing code duplication by 25%, managed via Git on GitHub Pages.
HTMLCSS
JavaScriptGitHub PagesMobile-First
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