PROFILE
Dhruhi Shah is a Teaching Assistant in the Department of Computer Science and Engineering at the School of Engineering and Technology, Navrachana University. She holds a Bachelor of Technology (B.Tech.) in Computer Science from Navrachana University. She has industry experience as an RPA Developer Intern at Tecnoprism Pvt. Ltd. and as a Full Stack Flutter Developer Intern at Pixeled Apps Inc. (Canada), where she worked on intelligent automation solutions, AI-powered applications, enterprise software development, and cross-platform mobile applications. Her technical expertise includes Artificial Intelligence, Machine Learning, Computer Vision, Intelligent Automation (RPA), Full Stack Development, Mobile Application Development, Cloud Computing, and Data Science. She is passionate about mentoring students through practical learning, project-based development, and helping them build strong programming and problem-solving skills aligned with current industry practices.
ACADEMIC BACKGROUND / QUALIFICATION
• B.Tech. – Computer Science, Navrachana University, Vadodara (2022–2026)
PROFESSIONAL / INDUSTRIAL EXPERIENCE
• Industry Experience – 5 Months (RPA Developer Intern, Tecnoprism Pvt. Ltd.)
• Industry Experience – 2 Months (Full Stack Flutter Developer Intern, Pixeled Apps Inc., Canada)
TEACHING
Areas of Teaching Interest
• Artificial Intelligence
• Machine Learning
• Python Programming
• Data Structures and Algorithms
• Database Management Systems (DBMS)
• Object-Oriented Programming (OOP)
• Web Technologies
• Mobile Application Development
• Computer Vision
• Intelligent Automation (RPA)
Teaching Philosophy / Approach
Dhruhi believes that students learn best by applying concepts to real-world problems. Her teaching approach focuses on combining theoretical foundations with practical implementation through coding exercises, hands-on laboratory sessions, and project-based learning. She encourages curiosity, collaborative learning, and critical thinking while creating an interactive classroom environment where students feel confident asking questions and exploring emerging technologies.
TECHNICAL EXPERTISE
• Languages: Python, Java, JavaScript, C, Kotlin, Dart, SQL
• Artificial Intelligence & Data Science: Machine Learning, Deep Learning, Computer Vision, YOLOv8, OpenCV, Scikit-Learn, Pandas, NumPy, Generative AI, Retrieval-Augmented Generation (RAG)
• Web Development: React.js, Node.js, Express.js, HTML, CSS, Bootstrap
• Mobile Development: Flutter, React Native
• Databases: MongoDB, MySQL, Firebase Firestore
• Cloud & DevOps: AWS, Docker, Git, GitLab, CI/CD, Jenkins
• Automation: Automation Anywhere, Power Automate
• Tools & Platforms: VS Code, Android Studio, Google Colab, Postman, Figma
AREA OF EXPERTISE
• Artificial Intelligence & Machine Learning
• Computer Vision
• Intelligent Automation (RPA)
• Full Stack Web Development
• Cross-Platform Mobile Application Development
• Data Science & Predictive Analytics
• Generative AI & Retrieval-Augmented Generation (RAG)
• Cloud Computing & DevOps Fundamentals
• Software Engineering & Agile Development
PROJECTS
1. Tivaan Vision — AI-Powered Vehicle Detection & Accident Prevention System
Tivaan Vision is an AI-powered Computer Vision system developed for intelligent vehicle detection and accident prevention using aerial imagery. The project involved training a custom YOLOv8 model on annotated datasets, implementing image preprocessing and augmentation pipelines using OpenCV, and evaluating performance using Precision, Recall, and mAP metrics. The proposed system is designed to integrate with wearable devices and IoT technologies for future real-time accident prevention and smart transportation applications. The project was selected under the Titan Innovation Foundation Program.
Technology Stack:Â Python, YOLOv8, OpenCV, Deep Learning, Computer Vision.
2. Shopper Spectrum — Customer Segmentation & Product Recommendation Engine
Shopper Spectrum is a Machine Learning-based analytics platform developed using real-world retail transaction data to perform customer segmentation and personalized product recommendations. The project incorporates RFM Analysis, K-Means Clustering, Collaborative Filtering, and interactive business dashboards to generate customer insights and support data-driven decision-making.
Technology Stack:Â Python, Scikit-Learn, Pandas, NumPy, Streamlit.
3. ReferLoom — AI-Powered Career Networking & Referral Platform
ReferLoom is a full-stack career networking platform designed to connect students, alumni, mentors, recruiters, and industry professionals. The platform includes intelligent AI Fit Score-based job matching, mentorship discovery, profile management, authentication, and career recommendation features developed using modern web technologies.
Technology Stack:Â React.js, Node.js, Express.js, MongoDB, JavaScript.
4. Balance — AI-Powered Mental Wellness Platform
Balance is a cross-platform wellness application that combines AI chatbot assistance with personalized mental wellness features such as mood tracking, meditation, breathing exercises, gratitude journaling, and secure cloud-based user management. The project focused on delivering accessible and engaging digital wellness experiences.
Technology Stack:Â Flutter, Dart, Firebase Authentication, Cloud Firestore, AI Chatbot, NLP.
