Sahil V.

Key Skills

Software

Other

OpenCV AI Kit (OAK)

Top Subject Matter

Generative AI – Prompt Engineering, AI Chatbots & NLP

AI/ML – Deepfake, Real/Fake Image & Video Detection

Data Annotation , AI Model Evaluation & Model Training

Top Data Types

Image

Video

Text

Top Task Types

Object Detection

Action Recognition

Question Answering

Classification

Fine-tuning

Function Calling

Text Generation

Freelancer Overview

Image Real/Fake/AI/Deepfake Detection Model (AI/ML). Brings 1+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and OpenCV AI Kit (OAK). Education includes Bachelor of Technology, University of Engineering and Management. AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Object Detection, Action Recognition, and Question Answering.

Labeling Experience

Personal AI Chatbot “Krishna AI” (ML Model - Bhagavad Gita)

OtherTextQuestion Answering

You built a custom AI chatbot that emulates Lord Krishna’s persona using the Bhagavad Gita as the knowledge source. You trained a machine learning model to generate spiritually aligned, context-aware answers based on a GitHub-hosted Q&A dataset. The system was designed for interactive human-like conversation with optional voice output and ethical response filtering. • Training on a Q&A dataset derived from Bhagavad Gita • Context-aware text generation for chatbot responses • Persona conditioning to match Lord Krishna’s style • Ethical response filtering during interaction

2024 - 2024

Video Real/Fake/AI/Deepfake Detection Model (AI/ML)

OpenCV AI Kit (OAK)VideoAction Recognition

You implemented a video real/fake/AI/deepfake detection system using frame-by-frame computer-vision processing. You integrated the trained model to run real-time inference and applied techniques to improve processing speed and reduce latency. You designed a scalable pipeline to support continuous video input and validated detection performance in dynamic environments. • Frame-by-frame processing with computer vision • Real-time model inference integration • Latency reduction and performance optimization • Scalable continuous video input handling

2024 - 2024

Image Real/Fake/AI/Deepfake Detection Model (AI/ML)

OtherImageObject Detection

You built a machine learning model to detect and classify objects in static images using a custom dataset you prepared. You performed data preprocessing, cleaning, and annotation, then applied feature extraction and data augmentation to improve performance. You trained and evaluated the model using standard metrics like accuracy, precision, and recall, and optimized parameters for better detection results. • Custom image dataset annotation and preprocessing • Feature extraction and data augmentation • Training and evaluation with accuracy/precision/recall • Deployment for real-world image recognition tasks

2024 - 2024

Education

Work History