🚀 AI Meets Innovation: As a passionate AI/ML researcher, I blend technology with impact. From leveraging machine learning to improve mental health diagnostics to pushing boundaries in EEG classification, I am on a mission to drive innovation that matters.🌟 My Journey: With a solid foundation in AI, NLP, and deep learning, I have worked on projects like social media-based depression detection and EEG analysis, achieving up to 90% model accuracy. Collaborating with international teams, I’ve authored papers published in prestigious platforms like Springer LNNS, showcasing my commitment to advancing AI for societal benefit.💡 What Drives Me: The intersection of AI and real-world challenges inspires my work. Whether it's engineering scalable disaster evacuation systems or fine-tuning AI models for public health, I thrive in dynamic environments where creativity meets results.📈 Key Highlights:Achieved a 9% improvement in depression detection accuracy through advanced NLP.Optimized EEG classification models by 40% for faster and more precise outcomes.Published and presented research at international conferences, building a strong academic presence.🌍 Let’s Connect: Whether you're passionate about AI in healthcare, exploring NLP, or seeking a collaborator for innovative projects, I’d love to connect. Together, we can turn ideas into impactful solutions!
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Ai And Ml InternCybersecurity UmbrellaSurat, Gj, In -
Research AssistantP P Savani University Aug 2024 - PresentSurat, Gujarat, IndiaCurrently, I'm interning as a Research Assistant at P P Savani University, where I’m focused on developing innovative AI tools for mental health screening. My primary project involves depression detection using Natural Language Processing (NLP) and deep learning. I'm working closely with a team to apply methods like sentiment analysis, text classification, and predictive modeling to identify early signs of depression through social media data.A key part of my role involves conducting thorough literature reviews, analyzing research papers to refine our feature engineering techniques and improve model accuracy. I’m also collaborating with international researchers to design AI-powered diagnostic tools that could make a real impact in mental health technology. This internship has been an incredible learning experience, strengthening my skills in NLP, statistical analysis, and interdisciplinary research, while allowing me to contribute to meaningful advancements in mental health. -
Research InternSardar Vallabhbhai National Institute Of Technology (Svnit), Surat May 2024 - Jul 2024SuratAt SVNIT Surat, I worked as a Research Intern, where I focused on advancing EEG classification models using machine learning. During this internship, I engineered and optimized neural network algorithms that achieved a 90% accuracy rate—surpassing existing models in the field. Through techniques like parallel processing and batch processing, I improved training efficiency by 40%, ensuring robust and reliable model performance.This experience deepened my skills in data preprocessing, statistical analysis, and feature engineering. I also led a cross-functional team to implement standardized model evaluation protocols, fostering collaboration and quality control. Working at SVNIT gave me hands-on exposure to advanced machine learning techniques, efficient neural network training, and essential team coordination in a research setting, all of which have been invaluable in refining my approach to complex data-driven projects. -
Research AssistantP P Savani University Dec 2023 - May 2024Surat, Gujarat, IndiaI worked with my team to build machine learning and deep learning models for detecting depression on social media. We used a mix of NLP techniques—like Linguistic Inquiry and Word Count (LIWC), sentiment analysis, and TF-IDF vectorization—to dig into the language patterns of users. With some creative feature engineering and computational linguistics, we boosted the accuracy of our model by 9%, making it even better at spotting early signs of depression.The project wasn’t just about building models; it was a deep dive into mental health informatics. We were able to pull out meaningful psychological insights from real social media data, which was both challenging and rewarding. And the best part? Our team’s work made it to ICICC 2024, where we’ll be presenting, and we’re getting published in Springer Lecture Notes in Networks and Systems (LNNS)!
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Open Source ContributorHrrkoin Aug 2023 - May 2024IndiaWe are building Hrrkoin, a secure, transparent, and immutable blockchain-based Web 3.0 suite of protocols for an open-source, AI-powered, decentralized human resource ecosystem.“ -
Summer InternOasis Infobyte Jul 2023 - Aug 2023IndiaUpgrade my skills in web development
Dhruvil Patel Education Details
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Information Technology And Engineering
Frequently Asked Questions about Dhruvil Patel
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Dhruvil Patel works for Cybersecurity Umbrella
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Dhruvil Patel attended P P Savani University.
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Dhruvil patel
Finance Professional With Expertise In Middle Office Operations, Passionate About Delivering Results, Continuous Learning, And Driving Innovation In Financial Services.Hyderabad -
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DHRUVIL PATEL
Ex-Product Engineering Intern @Sprinklr | Winner @Code-With-Cisco 2024 | Iit(Ism) Dhanbad Cse'25Ahmedabad -
Dhruvil Patel
I Help Businesses To Build Technologies And Grow Them With Digital Marketing Across London & India | Providing Proven Strategies For Personal Branding | Let'S Scale Your Vision.Ahmedabad
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