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Priyanshu V.

Priyanshu V.

Sign Language Hub Course Project — DES-646 (Prof. Amar Behera)

India flagkanpur, India

Key Skills

Software

Other
OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)

Top Subject Matter

Sign language recognition
emotion detection
and accessibility AI

Top Data Types

ImageImage

Top Task Types

Fine-tuningFine-tuning
ClassificationClassification

Freelancer Overview

Sign Language Hub Course Project — DES-646 (Prof. Amar Behera). Core strengths include Other and OpenCV AI Kit (OAK). Education includes Bachelor of Science, Indian Institute of Technology Kanpur (2026) and Intermediate Certificate (ISC), Cathedral College, Jhansi (2023). AI-training focus includes data types such as Computer Code and Programming and labeling workflows including Fine-tuning and Classification.

Labeling Experience

OpenCV AI Kit (OAK)

Gender & Age Detection System Self Project

OpenCV AI Kit (OAK)OpenCV AI Kit (OAK)ClassificationClassification

Developed a real-time gender and age detection system using OpenCV DNN with pre-trained Caffe models. Created an end-to-end computer vision pipeline combining TensorFlow-based face detection with separate age and gender classification networks. Implemented multi-class age prediction (8 classes) and gender classification with robustness to pose, lighting, and facial occlusion variations. • Built a command-line tool with argparse for flexible inference on webcam feeds and static images. • Optimized image preprocessing using OpenCV blobs for low-latency performance.

2026 - 2026

Sign Language Hub Course Project — DES-646 (Prof. Amar Behera)

OtherFine-tuningFine-tuning

Built an accessibility/sign-language recognition platform integrating ASL gesture recognition, facial emotion detection, and text/voice-to-sign translation. Trained a Random Forest classifier using MediaPipe hand-landmark data for ASL alphabet recognition across 26 classes. Implemented a CNN-based facial emotion recognition pipeline using the FER-2013 dataset and Haar Cascade face detection. • Integrated multiple modalities into a single end-to-end Streamlit application. • Designed live camera-based recognition and dictionary/translation UI for user interaction. • Evaluated model performance using test accuracy and macro F1-score metrics.

2025 - 2025

Education

C

Cathedral College, Jhansi

Intermediate Certificate (ISC), Science

Intermediate Certificate (ISC)
2023 - 2023
C

Cathedral College, Jhansi

Secondary School Certificate (ICSE), Science

Secondary School Certificate (ICSE)
2021 - 2021

Work History

C

Company not specified

Software Development and Machine Learning

Location not specified
Not specified