Full stack developer | Deloitte, Ex-Amex, Ex-Chaipoint

Amber Kamboj  • Peerlist

A Book Recommendation System for VIT Students that recommends books to issue from VIT Central Library based on the data about similarity between their batch mates patterns of buying books.
Used 10K+ data entries to train model. 
Implementation using Python Libraries like NumPy, Pandas, Matplotlib.

Book Recommendation System.

Used dataset of 7k+ histopathological images sorted as benign and malignant. Applied pre-processing of images and convolutonal neural network to train our model. Output of the model would give whether the
given inserted histopathologic images is critical breast cancer or not.
Accuracy of 78% was obtained.

Breast Cancer Prediction using histopathological images data

An algorithm which finds out best probable playing 11 Indian cricketing team based on past record on a venue. Used Naive Babes algorithm to find out the best batsmen, bowler, all rounder from a given dataset containing 10K+ records.

Best 11 cricket team

Implementation of Turing Machine using java applets and jawa swings. Implemented addition and subtraction operations.

Turing Machine Implementation

Tradify, a website which focuses on selling general commodities like rice, grains, wood etc directly from the producers like farmers and labourers. Used Html, JavaScript for front end and NodsJS to connect with back end.