Neel Shah's Portfolio

Personal Information

• Name: Neel Shah
• Email: [email protected]
• Contact: +91 7499599105
• LinkedIn: Neel Shah on LinkedIn
• GitHub: Neel Shah on GitHub

Education

• B.Tech. in Computer Science and Engineering (Artificial Intelligence)
  Vishwakarma Institute of Information Technology (VIIT), Pune
  CGPA: 8.3 (Till Semester II)
  (Pursuing)

• 12th Class (HSC)
  S.M. Choksey Jr. College, Pune
  Percentage: 88.33% (February 2023)

• 10th Class (SSC)
  St. Vincent's High School, Pune
  Percentage: 83.60% (March 2021)

Projects

Dark Pattern Detection in E-commerce Websites

• Problem Statement: Detect the type and scale of dark patterns in e-commerce platforms.
• Solution: Developed a browser extension using Naive Bayes classification and Gemini Pro Vision LLM to detect dark patterns on e-commerce product pages. It also sends real-time SMS alerts to users for greater transparency and awareness.
• Key Features:
  • Detection of deceptive design tactics.
  • SMS alerts for real-time notifications.
  • Integration with Gemini AI for advanced insights into dark patterns.

Personal Expense Tracker

• Solution: An intuitive expense tracking system for real-time financial management, providing users with detailed reports and visualizations for informed decision-making.
• Key Features:
  • Real-Time Expense Logging
  • Customizable Budgeting
  • Data Visualizations (Charts & Graphs)
  • Secure User Authentication
  • Mobile-Friendly Responsive Design (Tailwind CSS)

Skills

• Languages: Python, C++, C, HTML, CSS, JavaScript
• Frameworks & Tools: OpenCV, Flask, Django, RESTful API

Achievements

• Dark Pattern Buster Hackathon'23 Finalist: Selected by the Central Government of India and hosted by IIT BHU. (1 of 4 teams selected from the Pune region)
• PICT INC Hackathon: Secured 1st Runner-Up position in this international level hackathon in the ML domain.
• Byteplexure Sponsorship: Received sponsorship for the Dark Pattern Detection project presented at DPBH’23.

Certifications

• Udemy: 2 courses completed
• Infosys Learn: 2 courses completed
• CDAC: 2 courses completed
• CCNA Certification: Completed

Publications

• 8 Ball Pool Shot Predictor: ReadyTensor Publication

Positions of Responsibility

• Co-lead, GDG at VIIT Pune (September 2024 – Present)
• Publicity Coordinator, AISF Club at VIIT Pune (September 2023 – Present)

Personal Details

• Date of Birth: 15th August 2005
• Location: Pune, Maharashtra
• Nationality: Indian
• Languages Known: English, Gujarati, Marathi, German, Hindi
• Hobbies: Sports, Gym, Intellectual Curiosity, Personal enrichment