Chatbot

Deep Learning.

The Chatbot is a software which simulates human-like conversations via text messages on chat. Here, I used a manually generated json data which is very limiting for a 5 layer network with a relu activation. I developed a basic interface for the bot using Tkinter. The deployed bot has nine tags or labels which include: greetings, goodbye, thanks, items, payments, delivery, funny, no_category_1, and no_category_2. The no_category_1 and _2 are supposed to cover for texts that do not fit into the basic tags. The project is modeled for commerce.

• Category: Natural Language Processing

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Dog Breed Classifier (Web App)

Deep Learning.

The project dog breed classifier accepts image files, detects a dog(s) of human face(s) in the image, if a dog(s) is detected, the image is classified by the breed of the dog with an accuracy of 86% and if a human face(s) is detected, dog ear filters are overlayed on the image and then classified accorded to the closest dog breed in resemblance. This is my project capstone from the Udacity Machine Learning Engineer Nanodegree.

• Category: Computer Vision

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Web Scrapper For Images

Deep Learning.

Unlike other web scrappers, this project is designed to scrap images from special sites like pinterest or other websites by the img tag and save them to the machine of the user or a provided cloud database which is supposed to be mongo in this case. The tools and frameworks used are: nodejs, cheerio, puppeteer, javascript and vscode.

• Category: Web Scrapper

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Facial Keypoints Detection

Deep Learning.

This project is from a kaggle machine learning competition. It is mostly centered around the area of object detection. Here a model is trained with rgb images of faces with the facial keypoints annotated to recognize these features/keypoints and detect them in other images with faces. The major tools used here are python, pytorch, numpy and opencv

• Category: Computer Vision

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Oauth

Authentication And Security.

In the area of authentication and security, this project clearly demonstrates the implementation of oauth in a website with a testable user interface. The major tools used here are: nodejs, express, express-layouts, passport, bcrypt and mongoose.

• Category: Authentication

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CropLab

Product Management And Design.

This is the project capstone of the Udacity AI Product Manager Nanodegree.

Find a detailed report on the project here

• Client: Farmers And Agriculture
• Category: AI Product Management And Design

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