Research Internship

DST-SERB Funded Project on Assistive Technology for Visually Challenged Individuals

DST-SERB Research Intern

Koneru Lakshmaiah Education Foundation

3 months • Supervisor: Dr. Vithya Ganesan

Project DOI

Project: Hazard-Free Outdoor Path Navigator for Visually Challenged People

YOLOv8 Computer Vision Fuzzy Logic Python OpenCV

Key Achievements

  • Contributed to government-backed DST-SERB research project (Sanction Order: CRG/2022/002437)
  • Developed hazard detection system using YOLOv8 for identifying outdoor obstacles
  • Implemented classification of obstacles into high, medium, and low-risk categories
  • Assisted in implementing Fuzzy Trusted Hazard-Free Routing Path (FTHRP) algorithm
  • Played key role in dataset preparation, model evaluation, and optimization
  • Integrated computer vision with fuzzy logic for intelligent assistive navigation

Project Outcomes

  • Built framework supporting independent mobility for visually impaired users
  • Advanced research in inclusive and assistive AI technologies
  • Gained experience in structured research workflows and deployment challenges

Internship Certificate

View Internship Letter

Research Impact & Skills Gained

Research Skills

  • Government-funded research workflows
  • Dataset creation & annotation
  • Model evaluation & optimization
  • Academic paper contribution

Technical Skills

  • Real-time computer vision
  • Fuzzy logic implementation
  • Assistive technology development
  • Research deployment challenges

Professional Growth

  • Structured research group collaboration
  • Professional documentation
  • Ethical AI development
  • Accessibility-focused design