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b-plus-tree

Implemented a memory resident B-Plus Tree. Implemented functions to perform insertion, searching, range searching and deletion from the B-Plus Tree

bitcoingenerator

Bitcoins are the most popular crypto-currency in common use. At their hart, bitcoins use the hardness of cryptographic hashing to ensure a limited supply of coins. In particular, the key component in a bit- coin is an input that, when hashed produces an output smaller than a target value. The hash required to use is SHA-256. The goal is to use Elixir and the actor model to build a good solution to this problem that runs well on multi-core machines.

codingpractice

compiler

Developed a compiler for programming language that generates JAVA bytecode

facemodelling

Create a Face Model using OpenGL and C++

fittime

Fit-time is a fitness management program for the students. This is a web application designed to help students on campus find healthier eating options and meet their daily calorie goals. The application allows the users to create a personalized profile based on which we calculate their Body Mass Index (BMI) and set their calorie goal for either losing or gaining weight. The application is driven by constantly motivating the user by suggesting him/her meals lying within the calorie range, sending motivational quotes and showing daily progress to help them attain their goals faster and more efficiently. There are many existing solutions like MyFitnessPal and Tapingo, but Fit-time is better as compared to these application because it is UF centered, personalized and has a capability to suggest meals from near by options.

labweb

reize-thetravelplanner

We created a travel booking website for hotels, flights and car rentals. The customer can book hotels, flights and car rentals individually or plan a trip based on their needs. We also suggest the customer the location they might want to go to using the search and travel history. The travel planning is also theme based. This was a database management project. We included real time data accumulating to over 30 million entries. Due to the vastness of the scope of the travel booking website we only focused on travel in US. We tried to implement some level of data analysis by giving recommendation to users based on user ratings, previous search history to make the experience of the user more personalized. The project made us gain better understanding of database management, generating complex SQL queries, implementing triggers, joins on multiple tables to fetch the required data.