Amar Harish Ganta

Accomplished software engineer with proven expertise in AI-driven solutions, IoT innovation, and cloud architecture, recognized through awards, certifications, and patented projects.

Object Recognition System Using ESP32-CAM

This project Object Recognition using the ESP32-CAM focuses on real-time detection and identification of objects, particularly targeting insect detection on crops as a key application. The system utilizes the ESP32-CAM module, a low-cost, AI-capable microcontroller with an integrated camera, to capture images and process them using edge computing techniques. By leveraging lightweight machine learning models optimized for microcontrollers, the project ensures efficient object recognition without the need for cloud-based processing, making it cost-effective and energy-efficient. This solution addresses the limitations of traditional object detection methods, which often require expensive hardware and significant computational resources, as well as deep learning-based approaches, which can be impractical for real-time, on-field applications due to their dependency on powerful GPUs. By providing on-device processing, the project enables fast, offline, and scalable object detection, making it ideal for applications like precision agriculture, where timely detection of pests and insects can help farmers take preventive actions, reduce crop damage, and minimize pesticide use.

Parking Spot Finder- an iOS Application

This Project Parking Spot Finder iOS Application is designed to help users locate available parking spaces in real time, reducing the frustration and time spent searching for parking. The app utilizes GPS, real-time data from IoT-enabled parking sensors, and crowd-sourced updates to provide accurate parking availability information. By integrating AI-driven predictive analytics, it can also suggest the best nearby parking spots based on historical data, traffic conditions, and user preferences. This solution addresses the common urban challenge of parking congestion, which leads to wasted fuel, increased traffic, and unnecessary carbon emissions. Unlike traditional parking solutions that rely on static maps or manual searches, this app provides a dynamic, automated, and user-friendly experience, ensuring efficient space utilization, reduced traffic bottlenecks, and a seamless parking experience for users.

– Software Design and Architecture Specialization - Coursera.

– SQL -The Complete Introduction to SQL Programming - Udemy.

– Fundamentals of Software Development - Simpli-Learn.

– Python Fundamentals for Beginners - Udemy.

– Contributed to the development of the ”Smart Ration Distribution System.” The project is currently in patent application.

– Government of Telangana Scholarship Recipient: Awarded for outstanding academic performance and merit.

– Solved 100+ problems on LeetCode, demonstrating strong problem-solving and algorithmic skills.