Sankalchand Patel College of Engineering

SANKALCHAND PATEL COLLEGE OF ENGINEERING

Sankalchand Patel University

Slider1
previous arrow
next arrow

ABOUT SECTION

PRAGYA AI & Accelerated Computing Lab is an advanced research and innovation center established to promote cutting-edge Artificial Intelligence technologies and real-world problem solving.

Powered by NVIDIA accelerated computing infrastructure, the lab enables high-performance AI research in domains including Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Robotics, Drone Intelligence, Generative AI, and Smart Infrastructure systems.

The lab provides students and researchers with practical exposure, industry-oriented learning, research opportunities, and access to modern AI computing resources. Inspired by the innovation-driven ecosystem of SPU’s Center of Excellence initiatives, the lab focuses on bridging research, education, and impactful technological solutions.

Vision

To establish a world-class AI research and innovation ecosystem that empowers future technologists, drives interdisciplinary collaboration, and creates impactful AI solutions for society, industry, and sustainable development.

Mission

  • Promote AI-driven research and innovation
  • Enable access to advanced accelerated computing systems
  • Foster interdisciplinary and industry collaboration
  • Develop future-ready AI professionals and researchers
  • Create practical AI solutions for real-world challenges
  • Support entrepreneurship, innovation, and technology development

RESEARCH VERTICALS SECTION

AI in Healthcare

AI-powered medical imaging, disease prediction, healthcare analytics, and intelligent patient support systems.

AI in Agriculture

Precision farming, crop disease detection, smart irrigation, drone-based monitoring, and yield prediction systems.

AI in Education

Personalized learning systems, intelligent tutoring platforms, educational analytics, and AI-assisted learning environments.

AI in Infrastructure

Smart city technologies, traffic intelligence, surveillance analytics, and intelligent infrastructure management systems.

INFRASTRUCTURE SECTION

PRAGYA Lab is equipped with modern NVIDIA accelerated computing infrastructure designed for AI model training, deep learning research, simulation, computer vision, robotics, and real-time analytics.

The ecosystem includes:

  • GPU-enabled AI workstations
  • High-performance AI servers
  • Edge AI devices
  • Robotics platforms
  • Drone intelligence systems
  • Smart research environments
  • Advanced data processing capabilities
The infrastructure supports scalable AI development and interdisciplinary innovation across research and industry applications.    

TECHNOLOGY DOMAINS SECTION

Items

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Natural Language Processing
  • Generative AI
  • Large Language Models (LLMs)
  • AI Agents
  • Robotics & Automation
  • Drone Intelligence
  • Edge AI
  • Smart Surveillance
  • IoT & AI Integration
  • Data Analytics
  • Smart Agriculture Systems
RESEARCH & PROJECTS SECTION

AI-Based Sports Analytics
Computer vision systems for cricket analytics, player tracking, and automatic event detection.

Smart Agriculture Intelligence
AI and drone-based precision farming solutions for crop monitoring, disease detection, and yield analysis.

Intelligent Surveillance Systems
Real-time smart monitoring systems using AI-powered computer vision and analytics.

Generative AI Applications
Conversational AI systems, intelligent assistants, and domain-specific AI solutions.

Satellite Image Analytics
Deep learning-based analysis of remote sensing and satellite imagery for smart infrastructure and environmental monitoring.

PRAGYA AI Lab provides students with hands-on exposure through


● Research internships
● AI innovation projects
● Workshops & bootcamps
● Hackathons
● Industry training programs
● Startup incubation support
● Research publication opportunities
● Skill development initiatives
The lab focuses on practical implementation, innovation-driven learning, and industry readiness similar to the applied learning approach demonstrated by SPU’s Drone Technology ecosystem.

PRAGYA Lab collaborates with technology leaders, industries, startups, researchers, and academic institutions to promote advanced AI research, innovation, and real-world technology development.

The collaboration ecosystem supports:

  • Joint research initiatives
  • AI solution development
  • Industry-driven training
  • Technology transfer
  • Innovation challenges
  • Startup support and incubation

Why Choose Pragya AI LAb?

Points

  • NVIDIA accelerated computing ecosystem
  • Research-driven AI innovation environment
  • Industry-oriented practical learning
  • Advanced GPU infrastructure
  • Hands-on project development
  • Interdisciplinary research opportunities
  • Modern AI and deep learning technologies
  • Focus on real-world problem solving
  • Innovation and startup ecosystem support
  • Skilled faculty and expert mentorship