About Me

Aiming to work with an organization that works dynamically and gives me a chance to share as well as enhance my skills towards the growth of organization and myself.

Currently, I am pursuing Bachelor of Technology in Artificial Intelligence and Machine Learning from Madhav Institute of Technology and Science, Gwalior (M.P.).

Gwalior, India

+91 8103231898

My Skills

HTML
90%
CSS
90%
JavaScript
75%
React
60%
C++
85%
DSA
85%
Python
85%
TensorFlow
70%

Projects

Pulse Point

Overview:
Pulse Point is an AI-powered healthcare platform that connects patients with doctors. It offers an intuitive interface for booking appointments and includes a smart chat assistant that recommends doctors based on user-reported symptoms.

Doctor Integration:
Verified doctors can register on the platform, manage their availability, and view scheduled appointments through a secure, role-specific dashboard.

User Experience:
Patients get a dedicated dashboard to manage their appointments and chat interactions. Both users and doctors receive email notifications immediately after a booking is made, ensuring timely communication and confirmation.

  • Real-time doctor appointment booking
  • Symptom-based chat assistant to suggest relevant doctors
  • Firebase Authentication with role-based access
  • Firestore & Realtime Database integration for managing data
  • Email notifications sent to both patients and doctors upon booking
  • Separate dashboards for doctors and patients
  • Responsive design for web and mobile access

Human Action Recognition

Overview:
A deep learning-based video classification system that recognizes human actions by analyzing both spatial and temporal information. The project focuses on interpreting real-time activities from videos using advanced sequential models.

Model Architecture:
Utilizes two state-of-the-art architectures — ConvLSTM and LRCN. ConvLSTM integrates convolutional filters into LSTM units for spatiotemporal learning, while LRCN combines CNNs for spatial feature extraction with LSTMs for temporal understanding.

Dataset:
Trained and evaluated on the UCF50 dataset, which consists of 50 different human action classes like walking, biking, clapping, diving, etc.

  • ConvLSTM for spatiotemporal modeling
  • LRCN: CNN + LSTM hybrid for activity recognition
  • UCF50 dataset with 50 labeled action categories
  • High accuracy on real-time video classification
  • Applications: surveillance, smart fitness, gesture recognition

Portfolio Website

Overview:
A personal portfolio site designed to showcase my projects, skills, and resume. It reflects my design and front-end development abilities with a clean, modern user interface.

Functionality:
Features multiple sections including About, Skills, Projects, Resume, and Contact. It is fully responsive and styled with a dark theme for visual clarity and a polished feel.

Purpose:
Built to serve as my digital resume and professional identity, enabling potential collaborators and employers to explore my work efficiently.

  • Built with HTML, CSS, JavaScript
  • Dark mode-inspired responsive layout
  • Downloadable resume integration
  • Mobile-friendly and lightweight design
  • Easy-to-update modular structure

Resume

Summary

I am a third-year B.Tech student specializing in Artificial Intelligence, Machine Learning, and Data Analytics, with hands-on experience in data science and frontend web development. Skilled in Python, React, and data visualization tools, I am passionate about applying my technical knowledge to solve real-world problems and contribute to innovative projects.

Education

Sarvodaya Higher Secondary School

Class XII

Datia, India

Result: 82.8%

2022

Madhav Institute of Technology and Science

B.Tech in Artificial Intelligence and Machine Learning

Gwalior, India

CGPA: 7.94 (Till 5th Semester)

2022 – 2026

Contact Me

krishnamudgal44@gmail.com

8103231898