I am a Computer Engineering student specializing in Artificial Intelligence and Machine Learning, focused on designing intelligent systems that solve real-world infrastructure and automation challenges.

My work revolves around computer vision, machine learning pipelines, and smart infrastructure systems that interact with real-world environments such as transportation networks and urban systems.

I am particularly interested in building scalable AI systems that bridge research and real-world deployment.

A collection of applied AI systems and experimental projects focused on real-world intelligent infrastructure and automation.

Computer vision system designed to monitor toll booth congestion and traffic density using real-time vehicle detection and automated analysis.

Core Capabilities:

• Vehicle detection using computer vision
• Traffic density analysis
• Real-time congestion monitoring
• Smart traffic flow optimization

Deep learning system capable of detecting and tracking multiple objects from live video streams using modern computer vision models.

Key Features:

• Real-time inference
• Multi-object detection
• Video stream processing
• Computer vision pipeline design

Natural Language Processing system that extracts structured information such as:

• Candidate name
• Skills
• Work experience
• Contact information

Designed for automated resume screening pipelines.

Smart road monitoring system designed for urban infrastructure analysis using computer vision.

Capabilities:

• Vehicle detection
• Road environment monitoring
• Traffic condition analysis
• Smart city infrastructure insights

AI-powered dataset preparation system designed to assist machine learning pipelines with automated labeling and classification.

Focus Areas:

• Dataset preprocessing
• Label automation
• ML pipeline support

My current research interests include:

• Artificial Intelligence
• Machine Learning
• Computer Vision
• Intelligent Infrastructure Systems
• Smart City Technologies

I am particularly interested in AI systems that interact with the physical world, including transportation networks, urban monitoring systems, and automated infrastructure analysis.

Video Input
     ↓
Frame Extraction
     ↓
Image Preprocessing
     ↓
Deep Learning Model (YOLO / CNN)
     ↓
Object Detection
     ↓
Post Processing
     ↓
Real-Time Insights

PDF Resume
     ↓
Text Extraction
     ↓
NLP Processing
     ↓
Entity Recognition
     ↓
Structured Data Output

Currently working on improving my expertise in:

• Deep learning for computer vision
• Real-time AI detection systems
• Smart infrastructure automation
• Scalable AI system design

My long-term goal is to contribute to the development of intelligent AI systems that power smart cities, automated infrastructure, and real-world intelligent environments.

I am passionate about building AI technologies that move beyond theory and directly impact real-world systems.

LinkedIn — Coming Soon

Portfolio — pranavkale.ai (launching soon)

Email — pranavkale.ai@gmail.com