Scribd
Upload
10 views1 page

Nishanth Res

Nishanth Reddy Emmadi is a final-year B.Tech Computer Science student with a strong academic background and diverse technical skills in programming, web development, and machine learning. He has completed several projects, including a mobile cheque verification system and a facial recognition application for cattle, showcasing his ability to apply advanced technologies. Nishanth is eager to contribute to a software team and further develop his skills in the tech industry.

Uploaded by

nishanthreddyemmadi006
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
10 views1 page

Nishanth Res

Nishanth Reddy Emmadi is a final-year B.Tech Computer Science student with a strong academic background and diverse technical skills in programming, web development, and machine learning. He has completed several projects, including a mobile cheque verification system and a facial recognition application for cattle, showcasing his ability to apply advanced technologies. Nishanth is eager to contribute to a software team and further develop his skills in the tech industry.

Uploaded by

nishanthreddyemmadi006
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 1

N ISHANTH R EDDY E MMADI

§ github.com/nishanth006 ï www.linkedin.com/in/nishanthreddy006 # nishanthreddyemmadi006@gmail.com


leetcode.com/u/agentnishi/ ƒ +91 9440300327

P ROFESSIONAL S UMMARY
A Final-year B.Tech Computer Science student, eager to contribute to a dynamic software team.
Passionate about advancing software development skills and taking on innovative projects in the tech
industry

E DUCATION
B-Tech - Computer Science and Engineering, KMIT 2021 – 2025 (expected)
CGPA: 8.5/10
Intermediate - MPC, Narayana Junior College 2019 – 2021
Score: 97%
S KILLS
Programming Languages: C, C++, Java, Python, Solidity
Frontend Technologies: HTML5, CSS, Bootstrap, JavaScript, React.js
Backend Technologies: Node.js, Express.js, Flask
Databases: MySQL, MongoDB
Tools: Git, Docker, Kubernetes
Miscellaneous: NLP, Figma, Machine Learning, Linux, Computer Vision

P ROJECTS
Mobile Cheque Truncation and Verification | Pytesseract, YOLO, Deep Learning, Flutter, Roboflow, CNN, SVM, SIFT 2024
• Automated cheque truncation by extracting key features using YOLOv8 for object detection and OCR (Pytesseract)

for text recognition.


• Enhanced signature verification with SVM and SIFT, improving fraud detection accuracy.

• Optimized feature processing using CNN-based models and dataset augmentation via Roboflow.

Online Book Store (Freelance) | MERN stack ,JWT ,Bootstrap 2023


• Developed a online book store web application that allows users to buy books and add them to cart

• Conducted unit and API testing using Jest, Mocha, and Chai to ensure reliability.

• Integrated tools: GitHub, Docker.

Facial Recognition Of Cattle | MERN, CNN, YOLO, Flask Mar 2023 – Apr 2023
• Developed a facial recognition system for cattle identification as an alternative to existing methods such as

geo-tagging, RFID tags.


• Deployed the facial recognition system as a web application using the MERN stack, enabling easy access and

management of cattle identification data by farmers and ranchers.


• Utilized convolutional neural networks (CNN) for pattern recognition on the muzzle, integrating YOLO for real-time

object detection, providing a unique identification method similar to AADHAAR.

C ERTIFICATIONS
Certificate Of Completion - Mobile Cheque Truncation and Verificaton System Issued Apr 2024

Certificate Of Completion - Facial Recognition Of Cattle Issued 27 Jul 2023

LeetCode Problem Solving | 350+ problems solved


Improved problem-solving and algorithmic skills

You might also like