Topic: Rice leaf disease detection using Machine Learning Techniques.• A multiclass classification problem to classify the rice leaf images into Bacterial leaf blight, Brown spot and Leaf smut diseases.• Deployed the centroid based K- means clustering algorithm to identify the various segments to check the disease portion of the leaf image.• Used the colour-based thresholding to remove the green pixels from the resulted image after segmentation and extracted 80 features.• Applied support vector machine algorithm on these features for the final prediction of rice leaf disease and got 87% of test accuracy.

• Assisted the Placement Committee Members of the Career Development Centre, IIT Kharagpur during the 13 days long placement season in the month of December which saw a placement of over 1500 students.• Assisted several companies in placement processes by handling the interviews and other processes. • Conducted Presentations and Tests for various companies.

• Handled accommodation of over 350 participants for Prakriti 2019 and all the paperwork required by the fest.• Handled the events and preparation of problem statements of events Data Analytics and Manthan (Case Study).• Handled all the preparations and bookings for Introductory Seminar for first-year students.

• Prepared the budget and maintained the inventory for the events in Inter Hall Tournaments.• Coordinated all meetings regarding the technology events and their practice sessions of the teams.• Coordinated with the Silver winning teams of Product Design, Open soft and Tech Quiz in Inter Hall Tournaments.