Sneha Padhi

Computer Science Enthusiast

I am a student at GRIET and a dedicated mobile app developer. With a passion for learning new skills, I strive to be a jack of all trades, embracing the diverse opportunities within the tech field. My keen eye for design and love for front-end development drive me to create visually appealing and user-friendly interfaces. Balancing creativity and functionality, I continuously seek to enhance my expertise and contribute to innovative projects.

See my work

Experience

Throughout my career, I have gained valuable experience in various aspects of software development, AI, and cloud computing. Below are some of the key roles and accomplishments that highlight my journey and expertise.

Jul-Aug 2024

Software Engineering Fellow at Headstarter AI.

Mar 2024

Winners of AI Generation Hackathon at GRIET.

Mar 2024

Shortlisted for Robotics Competition Final Round at IIT Varanasi.

Jan - Mar 2024

AICTE AWS Cloud Virtual Internship.

Apr – Jun 2024

AICTE Google AI-ML Virtual Internship.

Work

Welcome to my portfolio. Here, you’ll find a selection of my key projects that demonstrate my skills and experience in software development, app creation, and data analysis. Each project highlights my ability to tackle complex problems and deliver innovative solutions.

Project 2 Image

BikerX

BikerX is a bike servicing platform using Dart Flutter, Firebase, and Google Maps API. It offers comprehensive maintenance services, including scheduling appointments, tracking service history, and receiving reminders.

  • Technologies Used: Dart, Flutter, Firebase, Google Maps API
  • Features: Appointment scheduling, Service history tracking, Reminders
  • Role: Mobile App Developer
Project 3 Image

Pothole Detection System

The Pothole Detection System uses dashcam footage and CNN models to identify potholes on roads. It leverages numpy, matplotlib, Python, TensorFlow, Keras, and OpenCV to process and analyze the data.

  • Technologies Used: Python, TensorFlow, Keras, OpenCV
  • Features: Real-time pothole detection, Data visualization
  • Role: Data Scientist
Project 1 Image 2

HealthHub

HealthHub is a telemedicine kiosk designed to provide remote healthcare services. The system integrates video conferencing, electronic medical records, and diagnostic tools to facilitate virtual consultations.

  • Technologies Used: React, Node.js, MongoDB
  • Features: Video conferencing, EMR integration, Diagnostic tools
  • Role: Team Lead, Front-end Developer