About Me

Alan is an enthusiastic Computer Science and Engineering student at Sri Ramakrishna Institute of Technology driven by a passion for solving complex problems and contributing to meaningful innovations in the tech world. Skilled in programming languages like Python, MATLAB, C++, and Java. Alan has also developed a strong understanding of data structures and algorithms. His experience includes hands-on projects in Machine Learning and hardware-based innovations, with a growing focus on Data Analytics and Artificial Intelligence.

Skills

Experience

Education

  • Web Development
    Creating professional webpages using HTML, CSS, Javascript
  • Java
    Grasping all the basics of Java Programming and working out the concepts efficiently
  • TensorFlow & Keras
    Working on an Image Recognition Project using those frameworks
  • Media Relations and Outreach Specialist
    The Competitive Programming Club, SRIT
    June 2024 - Present
  • Executive Committee Member
    Technical Association for Computer Engineers (TEKACE-SRIT)
    June 2024 - Present
  • Co-Founder
    Alan Stills
    February 2016 - Present
  • Lead Photographer
    Alan Stills
    May 2022 - August 2023
  • Summer Intern
    J. S. Aluminium Private Limited
    June 2023 - August 2023
  • Sri Ramakrishna Institute of Technology
    Bachelor of Engineering
    Computer Science and Engineering
  • Jayam Foundation Matriculation Higher Secondary School
    Higher Secondary Schooling
  • Bishop Francis Matriculation School
    Secondary Schooling

My Services

Web Development

Creating visually appealing, user-friendly, and responsive websites tailored to client needs.

Learn More

Project Management

Efficiently planning, organizing, and executing projects to ensure timely delivery and quality outcomes.

Learn More

Photography

Capturing moments with creativity and precision, offering professional photography services for events, portraits, and more.

Learn More

My Projects

Facial Emotion Recognition using VGG16 & VGG19

This project develops a real-time facial emotion recognition system using deep learning, specifically leveraging the VGG16 architecture. It classifies emotions such as happiness, sadness, anger, and surprise from facial expressions, with applications in healthcare, human-computer interaction, and emotion-aware AI. The system uses transfer learning to improve accuracy with limited data, fine-tuning the VGG16 model pre-trained on ImageNet. Techniques like data augmentation and early stopping were applied to optimize performance. The system has potential applications in virtual assistants, healthcare, and customer service, with future work exploring advanced models and multi-modal emotion analysis.

Conversational Image Recognition Chatbot

This project develops a Conversational Image Recognition Chatbot combining NLP and image recognition for real-time interactions. Using the VGG-16 model, it identifies objects in user-uploaded images and generates relevant responses with a Late Fusion Encoder. Future upgrades will incorporate LSTM and large language models for enhanced conversational depth. Scalable via cloud infrastructure, the chatbot has applications in e-commerce, healthcare, and security, automating image-based queries and improving user experience efficiently.

SmartPunch: Smart Attendance Management System using RFID's

This project leverages RFID technology and IoT to streamline attendance management. Students tap RFID cards, sending data to a cloud database accessible via a mobile app. The system enhances accuracy, efficiency, and transparency while reducing administrative tasks. Future developments include LMS integration, advanced analytics, and automated notifications, offering a scalable solution to improve attendance practices in educational institutions.

See More

Contact Me

alansahai123@gmail.com

+91 93612 92544

Download CV

Copyright © Alan S . Last Updated: 13 Dec 2024