Abhay Agnihotri profile photo 1 on Tal

Abhay Agnihotri

Engineering | Gate DA 26 Qualified

Lucknow

< 1 year of work experience

Edunet Foundation
Jul 20252 mosAug 2025

Remote

Built a computer vision application for automated tree species identification using PyTorch and ResNet-50 architecture. Achieved 92.5% classification accuracy on dataset containing 30+ tree species through transfer learning and data augmentation. Developed an interactive Streamlit web interface with drag-and-drop functionality for real-time image classification. Created comprehensive visualization dashboard featuring confidence scoring, prediction charts, and statistical analysis tools.

Abhay’s AI Stack

antigravity
antigravity
claude code
claude code
n8n
n8n
openai
openai
opencode
opencode
perplexity
perplexity

Education

Dr. A.P.J. Abdul Kalam Technical University

Bachelor's degree, Artificial Intelligence and Machine Learning

Dr. A.P.J. Abdul Kalam Technical University

20224 yrs2026

Intermediate

Nirmala Convent Inter College

20211 yr2022

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Headline

Engineering | Gate DA 26 Qualified

About

💡 About Me I am a 4th-year Bachelor's student with a strong passion for Java Full-Stack Development and a growing interest in AI and Machine Learning. Currently, I am honing my skills in Java, Spring Boot, DSA, and MongoDB while simultaneously exploring advanced concepts in AI and Data Analytics. 🎯 Career Goal My objective is to become a proficient Java Full-Stack Developer, specializing in backend technologies while integrating AI/ML capabilities into real-world applications. 🛠️ Skills & Expertise Programming: Java, Python Frameworks: Spring Boot Databases: MongoDB, SQLite Frontend: HTML, CSS, JavaScript Strong understanding of DSA and problem-solving 📚 Interests I am deeply interested in AI/ML, backend development, DSA, and API integrations. I am always eager to learn and apply new technologies to solve complex problems efficiently.

Location

Lucknow

AI stack

antigravity

claude code

n8n

openai

opencode

perplexity

Work experience

Skills4Future AI Intern - Tree Classification via Convolutional Neural Networks at Edunet Foundation, Jul 2025 - Aug 2025 · 2 mos, Remote, Built a computer vision application for automated tree species identification using PyTorch and ResNet-50 architecture. Achieved 92.5% classification accuracy on dataset containing 30+ tree species through transfer learning and data augmentation. Developed an interactive Streamlit web interface with drag-and-drop functionality for real-time image classification. Created comprehensive visualization dashboard featuring confidence scoring, prediction charts, and statistical analysis tools.

Education

Bachelor's degree, Artificial Intelligence and Machine Learning, Dr. A.P.J. Abdul Kalam Technical University

Intermediate, Nirmala Convent Inter College

Public links

github: https://github.com/Abhay-Agnihotri01

abhayagnihotri.dpdns.org: https://abhayagnihotri.dpdns.org/

Abhay Agnihotri - Skills4Future AI Intern - Tree Classification via Convolutional Neural Networks in Lucknow | Tal