Krishna Shrivastav

Hi, I'm Krishna Shrivastav, a B.Tech student specializing in Artificial Intelligence and Machine Learning at Sanskriti University (Batch 2023–2027).
I am passionate about building innovative AI-driven solutions and applying technology to solve real-world problems.

Key Projects

1. Grace Gesture Recognition and Control Engine

Developed a gesture-based system to enable intuitive control of devices using hand gestures.

Focused on creating a seamless and user-friendly experience through Computer Vision and Machine Learning.

2. Hand Gestures Sign Language Detection Model

Built a model to enable computer control through hand signals using Google Teachable Machines and Streamlit.

Aimed at improving accessibility for individuals with unique communication needs.

3. ATS Resume Analyzer

Built a tool to analyze resumes for ATS compatibility using Google Gemini.

Designed a simple, interactive interface with Streamlit to assist job seekers.

5. SIH 2024 Hackathon Project (Ongoing)

Working on enhancing lunar crater images using MIRNet, GANs, and CNNs.

Collaborating with a team as the Core Tech Lead (Deep Learning) to build an innovative solution.

6. Research Internship at BIT Sindri

Explored unsupervised ML frameworks for anomaly detection in additive manufacturing.

Focused on real-time melt pool observation and analysis.

Skills and Expertise

Programming: Python, JavaScript.

Frameworks and Libraries: TensorFlow, PyTorch, OpenCV, Keras, Django, Streamlit.

Specialization: Deep Learning, Computer Vision, and Feature Engineering.

Tools: Google Teachable Machines, Kaggle, Heroku.

I bring a strong technical background and a proven track record of building innovative AI projects. With a passion for teamwork and problem-solving, I am excited to contribute to WIEgnite 2.0 by developing impactful solution.