Projects

• Drone-Powered Crop Disease Detection and Monitoring using Computer Vision and Deep Learning

• AI-powered Smart belt for Dog Health Monitoring:

• Dog Breed Identification Using Deep Learning Approaches

• Dogs Healthcare Monitoring 

• Schedule Generator

• Air Quality Detection using Land Coverage

• Location Based Garbage Management System

1. Automate Herbs Selection Process:

Tool: Jupyter, Spider

Language: Python

Technology: Machine Learning

Libraries used: Numpy, Pandas, Seaborn, Scikit-learn

Project Description: Maple Leaves Ltd is a start-up company which makes herbs from different types of plants and its leaves. Currently the system they use to classify the trees which they import in a batch is quite manual. A labourer from his experience decides the leaf type and subtype of plant family. They have asked us to automate this process and remove any manual intervention from this process.

2. Ticket Checker System (Python)

Tool: Pycharm/Sublime

Language: Python (Object-Oriented, Data Structure, Networking)

Database: MySQL

Project Description: The ticket checker system is an application, where user can get railway ticket in the QR Code form. Once the user buys the ticket depending upon the ticket type it will get validated using his mobile. As per ticket type the ticket will be valid for the respective journey time. User’s ticket information is stored in suing appropriate data structure. In this application one function is created to generate QR Code file and scan users QR Code by using QR Scanner for getting the user ticket id and he will search the ticket id in admin database to get the ticket information.

3. Edge Detection for Video-based Object Tracking and Recognition (M.E Project)

Tool used: MATLAB

Project Description: In Edge Detection for moving object tracking and recognition, the recorded or analyzed video data from control station is monitored for the video based object recognition and tracking. Detection of edges of the objects and recognize it for security purpose as well as to make data simpler to being processed.

4. Secured Mailing System (B.E Project)

Technology used:  ASP.Net, C#, Framework 3.5.

Database:  SQL server

Project Description: In Secured mailing System, messages are encrypted using a Cryptographic tool. In this system, mail is stored in Encrypted form on both side in receiver’s inbox as well as in sender’s outbox. Attachments can also be encrypted by using same tool. In the cryptography tool RSA with MD5 algorithms are used.