Swopnil Panday
Passionate about building technology that better lives, combining my love for AI/ML and software development to turn creative ideas into real solutions. Visit My Story to see my journey so far.
Technical Journey
My path through technology has been driven by curiosity and real-world problem solving. Each skill was learned through hands-on projects and practical applications.
Machine Learning & AI
Started with basic Python libraries and gradually moved to complex deep learning models
Began with scikit-learn for basic classification tasks
Developed CNN models with TensorFlow for currency recognition project
Implemented NLTK for natural language processing in chatbot development
Created custom neural networks for campus safety monitoring system
Full Stack Development
Journey from basic HTML to complex web applications
Started with simple webpage creation in grade 7
Built dynamic websites using Django and React.js
Developed audit management system at Eminence Ways
Created various websites for VSE club and clients.
Backend Development
Mastered multiple backend technologies through real projects
Built RESTful APIs with Django for asset management
Implemented Firebase for real-time applications
Developed MySQL database architectures and admin pages for various websites
Created secure authentication systems for browser and websites
Cybersecurity
Learned through hands-on penetration testing and secure development
Conducted security audits at Eminence Ways
Developed secure browser with custom protocols
Implemented encryption in sensitive applications
Performed penetration testing on web applications
Mobile Development
Expanded into iOS development with Swift
Created currency recognition app for visually impaired
Developed campus safety application
Built battery life tracking application
Implemented ML models in mobile environment
Innovation
Using creativity to build solutions
Took inspiration from problems around me and curated solutions to solve them like browser
Created different tools to help rural Nepal connect to tech
Built websites, apps that makes daily life simpler
Education
Villanova University
Bachelor of Science in Computer Science, Minor in Mathematics
Aug. 2022 – May 2026
GPA: 3.81/4.0
Villanova Presidential Scholar (Top 25 from 1600 students)
Little Angels' Cambridge School
Cambridge GCE A-LEVELS
May. 2019 – Aug 2021
Grades: A*,A,A
Projects
Currency Recognition
I developed NoteNinja, a currency recognition application, inspired by my mother's daily struggles with partial vision. Watching her difficulty in identifying bills and having to rely on others for help deeply affected me, especially after I left for college. This personal connection drove me to leverage my computer science background to create a practical solution. Using advanced CNN models including ResNet50, VGG16, and Inception-v3, I built a robust system that could accurately identify currency bills in real-time. To ensure the app would work reliably in real-world conditions – like the varying lighting in stores or the different ways my mom might hold her phone – I created a diverse dataset of over 50,000 currency images from 25 countries, captured under various conditions. The iOS application I developed features voice feedback in multiple languages, achieving 90% accuracy in currency detection.
Campus Safety AI
The Campus Hero App is designed to keep on-campus students safe anytime, anywhere. It leverages AI to provide real-time notifications, mental health support, incident reporting, and navigation assistance. With features like emergency alerts, a campus map, and a safety walk map, it ensures students stay informed and secure. Whenever user is going out, they can turn on the app and it uses voice recognition to sense danger, in case of danger it sends the recent recorded text, location, and alert to campus safety. The app doesn't invade privacy because it works on the concept of Hey Siri, everything safe is never stored and automatically replaced in milliseconds. There is also a campus density map that leverages real time cctv footages to show density in different location around campus and help user find safest way to go back to their destination.
Hydrovision
The HydroData platform is an intelligent system designed to enhance hydropower plant operations through advanced data analytics. It combines real-time sensor data, weather forecasts, and historical patterns to predict water levels and optimize energy production. The system features predictive analytics for water flow forecasting, operational optimization for turbine efficiency, and early flood warning capabilities. By analyzing multiple data streams, it helps operators make informed decisions about power generation schedules and safety measures. The platform typically delivers 15-20% improved energy efficiency while providing crucial advance warning for flood events, enabling better emergency preparedness. Its user-friendly interface makes complex data easily accessible to plant operators, helping them maintain peak performance while ensuring regulatory compliance and environmental safety.
PYsecure Browser
Secure browser with advanced threat detection and privacy features. Many organizations deal with very confidential information but their employees are unable to identify threats and hackers have a great way to track their activity by leaving malware in their browser. This browser blocks all, and allows admin to have control over safe sites user can navigate and track their working period. The image is just basic implementation, the browser was configured as the
Villanova Stock Exchange
A platform to create, trade stocks in real time. This is a simulation of stock system where users can buy, sell stocks of Villanova clubs, department. This teaches people, how trading works in real life.
Mental Health Chatbot
AI-powered chatbot for mental health support using NLP.
Battery Life Tracker
Smart battery monitoring and optimization system.
Villanova Software Engineers
A website to display our club projects.
Experience
Researcher
Villanova University
May 2024 - Aug 2024
Developed CNN models for currency bill recognition
Achieved 90% accuracy on 50,000-image test set while reducing training time by 60%
Implemented transfer learning with ResNet50, VGG16, and Inception-v3
Optimized model performance through 10 image augmentation techniques
Reduced overfitting by 40% and improved validation accuracy
Created diverse dataset of 50,000+ currency images from 25 countries
Developed accessible iOS application with multi-language voice feedback
Software Developer and Penetration Tester
Eminence Ways
Oct 2021 - Jul 2022
Full-stack development and security testing
Developed audit and asset management systems using Django
Conducted security testing on mobile and web applications
Delivered 30+ cybersecurity awareness sessions
Identified and documented application vulnerabilities
Tech Instructor and Program Manager
Building 21
Jun 2023 - Aug 2023
Led technology education programs
Instructed Python programming to 50+ underprivileged students
Achieved 100% course completion rate
Led 'Launchpad' program for high school students
100% of participants reported increased interest in technology fields
IT Technician
Villanova University
Oct 2022 - Present
Provide technical support for classroom technologies
Program and troubleshoot touchpanels and audiovisual equipment
Assist professors in resolving technical issues
Ensure smooth integration of technology in educational settings
Enhance overall teaching and learning experience
Lead Developer
Hack Nepal
Jun 2021 - Apr 2024
Developed secure browser solution (PYsecure)
Engineered advanced API for seamless server-browser communication
Developed secure web testing and browsing solution using Python
Match Researcher
Villanova University
Feb 2023 - Aug 2023
Researched dataset image redundancy reduction
Developed Python-based automated tools for image recognition efficiency
Enhanced image recognition accuracy through redundancy elimination
Improved effectiveness of data-driven applications