Aaryan Nara

A versatile frontend developer, graphic designer, and AI/ML specialist with a strong background in developing user-centric web applications and AI-driven solutions. Skilled in designing and implementing cybersecurity training platforms, corporate portals, and government-backed projects, ensuring seamless integration of penetration testing and digital forensics into end-user experiences.

Led graphic design and web development for AAWISHCAR in collaboration with Leafy Wheels Pvt. Ltd., delivering functional and visually compelling digital solutions. Proficient in machine learning, UI/UX design, and AI model optimization, with a focus on developing scalable and innovative technologies.

A recognized hackathon mentor and award-winning innovator, with national-level accolades for AI-driven problem-solving and software development.

• Smart India Hackathon Winner – Software Edition 2023
  Government of India
  Winner of Smart India Hackathon 2023 (Software Edition) for solving challenge 1339 from the Ministry of Mines.
• IDE Bootcamp National Pitch Deck Winner 2024
  Ministry of Education, AICTE, MoE’s Innovation Cell
  Recipient of the Best Pitch Deck India Award 2024 at the Ministry of Education’s Innovation Bootcamp.
• 1st Runner-Up at InnoSpark
  IEEE Chandigarh University
• Mentor of Finalist Team – Smart India Hackathon 2024 (Software Edition)
  Mentored a finalist team addressing Problem Statement 1271: Enhancing Anti-Doping Efforts for the National Anti-Doping Agency (NADA).

• AIDOC - AI-Driven Telemedicine: AI-powered telemedicine with IoT-based health monitoring, blockchain-secured records, and predictive analytics.
• Smart Traffic Light System: YOLOv8-based adaptive traffic control, IoT-enabled management, and emergency vehicle prioritization.
• Face Recognition System: 50% faster authentication, 90% accurate verification, and enhanced security.
• GeoScan (Ministry of Mines, India): AI-powered geological analysis, reducing analysis time by 30% and improving accuracy by 80%.
• Anti-Doping Intelligence System: AI-driven pattern recognition and anomaly detection for regulatory investigations.
• AI-Based Automated Code Debugger & Explainer: NLP-powered AI system for debugging, explaining, and optimizing code across multiple programming languages.