Agro Shield - Crop Disease Detection
Published by
VII BioEngineering Conf 2024, NIT Rourkela
Summary
Presented an innovative solution for crop disease detection, recognized for its innovation at a national-level bioengineering conference.
A highly motivated Computer Science graduate with a strong foundation in full-stack development, AI/ML, and secure system design. Proven ability to build and deploy innovative applications, leveraging technologies like Next.js, React, Python, and OpenAI, to deliver measurable improvements in user experience, operational efficiency, and data-driven decision-making. Eager to apply technical expertise and project leadership skills in a dynamic software development role, contributing to cutting-edge solutions.
→
Btech
Computer Science and Engineering
Grade: 8.18
Awarded By
Aarambh College
Achieved runner-up position in a competitive college-level volleyball tournament, demonstrating teamwork and competitive spirit.
Published by
VII BioEngineering Conf 2024, NIT Rourkela
Summary
Presented an innovative solution for crop disease detection, recognized for its innovation at a national-level bioengineering conference.
Fluent
Native
Basic
Issued By
Walmart USA on Forage
Issued By
IBM Career Education Program
Issued By
IBM Career Education Program
Issued By
Microsoft & Simplilearn
C++, JavaScript, Python, TypeScript.
HTML5, CSS3, React.js, Next.js, Node.js, Tailwind CSS, FastAPI, Vercel, Shaden UI, Framer Motion.
MongoDB, PostgreSQL, Prisma ORM, Firestore, Supabase.
OpenAI, Gemini AI, TensorFlow, OpenCV, LSTM-AE, PowerBI.
Git, CI/CD, Firebase, Arcjet.
Badminton (State-level player), Volleyball.
→
Summary
An AI-powered personal finance web application enabling users to track spending, set budgets, and receive real-time AI-generated financial insights.
→
Summary
A responsive, SEO-optimized personal portfolio website showcasing projects, certifications, and achievements with an engaging user interface.
→
Summary
A comprehensive voice-based AI mock interview assistant leveraging OpenAI APIs to dynamically generate role-specific and difficulty-tiered questions, designed to enhance interview preparation.
→
Summary
An advanced LSTM-AE model for real-time detection of driver drowsiness, designed to enhance road safety and operational efficiency.