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🚀 Welcome to my professional journey! I am Mahak Dhakad, a dedicated technologist with a…
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Good morning from France 🥐 where Pavel Durov, founder of Telegram was just arrested after stepping off his private jet 🛩️ 🇫🇷 French authorities…
Good morning from France 🥐 where Pavel Durov, founder of Telegram was just arrested after stepping off his private jet 🛩️ 🇫🇷 French authorities…
Liked by Mahak Dhakad
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Wrapped up another enriching semester at National Law University Delhi! This semester has been a journey of growth and learning as an Academic…
Wrapped up another enriching semester at National Law University Delhi! This semester has been a journey of growth and learning as an Academic…
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Bildung
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University of Petroleum and Energy Studies
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Activities and Societies: B.Tech. - CSE with specialization In Banking, Finance, Security & Insurance
Academic Projects and Responsibility
Developed and implemented a comprehensive software application as part of a team project, demonstrating proficiency in programming languages such as Python and C/C++.
Collaborated with professors and classmates to conduct research on artificial intelligence algorithms, and work on BFSI Articles.
Highlighted Project -
Lexeme Analyser
Three Modules of Autonomous Driving
Music Recommendation System
Spearheaded a successful…Academic Projects and Responsibility
Developed and implemented a comprehensive software application as part of a team project, demonstrating proficiency in programming languages such as Python and C/C++.
Collaborated with professors and classmates to conduct research on artificial intelligence algorithms, and work on BFSI Articles.
Highlighted Project -
Lexeme Analyser
Three Modules of Autonomous Driving
Music Recommendation System
Spearheaded a successful research project on climate change, resulting in the publication of findings in a peer-reviewed scientific student. -
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6.0001 || Introduction To Computer Science And Programming In Python
INSTRUCTORS - Dr. Ana Bell | Prof. Eric Grimson | Prof. John Guttag
Successfully completed the 6.0001 | Introduction To Computer Science And Programming In Python course, gaining a solid foundation in Python programming language and its applications. Developed and implemented various Python programs, including assignments and projects, to demonstrate proficiency in coding concepts such as loops, conditionals…6.0001 || Introduction To Computer Science And Programming In Python
INSTRUCTORS - Dr. Ana Bell | Prof. Eric Grimson | Prof. John Guttag
Successfully completed the 6.0001 | Introduction To Computer Science And Programming In Python course, gaining a solid foundation in Python programming language and its applications. Developed and implemented various Python programs, including assignments and projects, to demonstrate proficiency in coding concepts such as loops, conditionals, functions, and object-oriented programming.
6.006 - Algorithms and Data Structures
INSTRUCTORS - Prof. Erik Demaine | Prof. Srini Devadas
Developed a strong foundation in algorithm analysis and design principles through the completion of rigorous coursework in 6.006 | Introduction to Algorithms. Applied critical thinking and problem-solving skills to successfully complete challenging assignments and projects, including implementing various data structures and algorithms.
Licenses & Certifications
Projects
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Mahak-Pretraining-Deep-Ultrasound-Image-Diagnosis-Model-through-Video
Most deep neural networks (DNNs) based ultrasound (US) medical image analysis models use pre-trained backbones (e.g., ImageNet) for better model generalization. However, the domain gap between natural and medical images causes an inevitable performance bottleneck. It contains over 23,000 images from four US video sub-datasets. To learn robust features from US-4, we propose an US semi-supervised contrastive learning method, named USCL, for pretraining. In order to avoid high similarities between…
Most deep neural networks (DNNs) based ultrasound (US) medical image analysis models use pre-trained backbones (e.g., ImageNet) for better model generalization. However, the domain gap between natural and medical images causes an inevitable performance bottleneck. It contains over 23,000 images from four US video sub-datasets. To learn robust features from US-4, we propose an US semi-supervised contrastive learning method, named USCL, for pretraining. In order to avoid high similarities between negative pairs as well as mine abundant visual features from limited US videos, USCL adopts a sample pair generation method to enrich the feature involved in a single step of contrastive optimization. Extensive experiments on several downstream tasks show the superiority of USCL pretraining against ImageNet pretraining and other state-of-the-art (SOTA) pretraining approaches. In particular, USCL pretrained backbone achieves fine-tuning accuracy of over 94% on POCUS dataset, which is 10% higher than 84% of the ImageNet pretrained model. The constructed US-4 dataset and source codes of this work will be made public.
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Chatbot /ChatbotCobots.txt
ChatBotForCobots.txt is an innovative Python-based project that leverages the power of Artificial Intelligence (AI) and Machine Learning (ML) to create an intelligent chatbot tailored specifically for collaborative robots (cobots). This cutting-edge chatbot aims to enhance human-robot interaction, making it more intuitive, efficient, and user-friendly in various industrial and collaborative settings.
Build a user-friendly, Python-based chatbot that seamlessly integrates with industrial…ChatBotForCobots.txt is an innovative Python-based project that leverages the power of Artificial Intelligence (AI) and Machine Learning (ML) to create an intelligent chatbot tailored specifically for collaborative robots (cobots). This cutting-edge chatbot aims to enhance human-robot interaction, making it more intuitive, efficient, and user-friendly in various industrial and collaborative settings.
Build a user-friendly, Python-based chatbot that seamlessly integrates with industrial cobots to streamline operations and improve worker productivity. Employ AI and machine learning techniques to enable natural language interactions, task delegation, and real-time assistance. Target potential applications in manufacturing, assembly, logistics, and other industrial settings, aiming to enhance process efficiency and worker satisfaction. -
Deep-Face-Recognition
Embark on a groundbreaking journey into the future of identity verification with our state-of-the-art Deep Face Recognition project. Leveraging the power of Python, Artificial Intelligence (AI), and advanced Deep Learning techniques, this project redefines the standards of facial recognition technology.
More activity by Mahak
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Asking for references is a two-way street. Get references for potential bosses you might work for. Look out for these red flags below to avoid a…
Asking for references is a two-way street. Get references for potential bosses you might work for. Look out for these red flags below to avoid a…
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