Bhavya Mehta

ML DL |

Implemented a research based DCGAN model to generate fake human faces addressing the problem of image data scarcity. Carried out distributed training of 10,000+ images with an average discriminator-generator loss of 0.76 and 0.89. The model has a total of 29 million parameters & outputs unique realistic faces after 30 epochs of training. An ensenmble of generators pair up with a discriminator to extract facial features and distinguish between real and fake images.
Technology Stack: Python, Sklearn, Keras, Pytorch, GPUs.

AI Algos |

A modern day food ordering website which implements algorithms like A*, Minimax and alpha-beta pruning for 3 game based wallets instead of Promo codes. Solved the TSP using Ordered Crossovers with mutation at a rate of 0.05% and used Mapbox APIs to show the optimal route for delivery considering real time traffic.
Technology Stack: HTML, CSS, Js, MongoDB, Express.js, Node.js

Charity |

A complete, end‐to‐end solution for the functioning and manage‐ ment of an NGO. Includes Donate, Volunteer, Ecommerce, Blogging, E‐Payment and Mailing features.
Technology Stack: HTML, CSS, Js, MongoDB, Express.js, Node.js

FinTech |

HisabKitab is a simple GST Billing and Stock Management software.It is a systematic user centered platform for local vendors to create,store manage and download structured invoices as pdf for all transactions fed. Provides multi-chart statistical analysis for monthly sales and purchases along with fuzzy search to easily navigate through documents. Helps keeping a track of transactions and printing bills at the same time.
Technology Stack: HTML ,CSS ,Js, Express.js, Node.js,Google Firebase, Dart, Flutter

Social Media |

An all inclusive community and shopping site for animal lovers of all stripes and colors. Users can create Facebook‐style profiles for their pets and interact with other users.
Technology stack: HTML, CSS, Js, MongoDB, Express.js , Node.js

Social Cause |

A Food donation app that connects potential food doners to NGOs & receivers preventing wastage of food and starvation. Built end-to-end workflow including use cases such as user sign up, profile creation,donor-donee matching and conditional data retrieval for filtering. Conducted usability testing on 15+ users to enhance user experience. A step towards eliminating starvation and food wastage.
Technology stack : Dart, Flutter, Google Firebase

Automation |

Voice activated assistant which takes commands from the user and works accordingly. Does day to day tasks for user like writing notes, sending emails,sending messages over whatsapp. And for it to interact with the user ,it uses Speech recognition ie the process of converting audio into text.
Technology Stack: Python, SpeechRecognition.

BHAVYA MEHTA