Samarth Nande

Proficient in multiple programming languages including Python, C, C++, Java, and JavaScript, with experience in web development utilizing HTML and CSS. Demonstrated ability to manage and interact with databases through MongoDB and MySQL, supporting backend functionalities in various projects. Familiarity with the Flask framework has facilitated the development of scalable web applications. Knowledgeable in version control with Git, as well as working in both Linux and Windows operating systems, positions for efficient collaboration in software development environments. Successfully developed healthcare and green energy projects, with recognition at national-level competitions like DIPEX 2025.

• PlugWise - Effortless EV Charging and Navigation (Finalist at DIPEX 2025)

Duration: 01/03/2025 – 05/04/2025 

PlugWise is a smart EV charging navigation platform that enhances accessibility and efficiency in electric vehicle (EV) charging. It helps users locate, book, and navigate to charging stations in real time, reducing wait times and optimising station usage. By integrating Google Maps API, MySQL , and a user-friendly dashboard, PlugWise streamlines the charging process and improves the overall EV charging experience.

• USBGuard – Real-time External Device Intrusion Detection and Lock System

Duration: 29/12/2024 – 05/12/2024
USBGuard is a real-time Windows-based security system designed to monitor and restrict unauthorized access via external hardware such as USB drives, mobile devices, and input peripherals. The system continuously scans for new device insertions using Python’s WMI, registry queries, and pywinusb, distinguishing between internal and external components via vendor filtering. Upon detection of an unknown device, the system enforces a full-screen lock and requires password authentication to regain access. Built using Python, Tkinter, WMI, and Win32 API, USBGuard combines GUI-based security prompts with low-level hardware detection. It enhances endpoint protection for personal and enterprise systems, preventing data theft, unauthorized data injection, and hardware keyloggers.

• CureByDiet - AI-Based Disease & Diet Recommendation System

 Duration: 23/07/2024 – 07/11/2024

 Built a web platform to predict diseases based on user symptoms and suggest recovery diets., Integrated Python Flask backend with MongoDB to handle user and booking data., Used Symptomate and Infermedica APIs to support mapping of 25+ diseases and symptom inputs., Enabled users to access relevant doctor contacts and diet plans., Python, Flask, HTML/CSS, MongoDB.