amangupta201's Projects
About myself
Building Recommendation Model for the electronics products of Amazon
cisco-starter-repo-1 for task 1
The Python programming language
A simple like and post application created using django which also demonstrates the use of Asynchronous JavaScript in which after liking the post the user interface of the website doesn't changes.
A simple dictionary web app created using django and the PyDictionary Library which gives meaning of words.
Face Detection Module
A framework for implementing federated learning
A Flappy Bird Clone made using PyGame. There is a game clock to control the frame rate. There are functions for bird,pipe and obstacles. For loops are there to start and end the game and check for collisions. Contributions are welcome :)
Starter repo for task 1 of the JPMC software engineering program
Starter repo for task 2 of JPMC's forage program
Starter repo for task 3 of JPMC's Forage program
A Google Assistant Type which uses APIs of Google Assistant for Natural Language Processing and text-to-speech functionality.
This project is a basic emotion recognition system that combines OpenAI's GPT API and a deep learning model trained on the FER2013 dataset. It detects facial emotions in real-time from a webcam feed and generates AI responses based on the user's emotion. The project is implemented using TensorFlow, OpenCV, and OpenAI's API
Hand Tracking Module
Hands on Tensorflow Lite for Intelligent Mobile Apps [video], published by Packt
Intelligent Mobile Projects with TensorFlow, published by Packt
๐ฎ Build multimodal AI services via cloud native technologies ยท Neural Search ยท Generative AI ยท Cloud Native
A simple job recommender system developed in Python which uses data visualization libraries such as numpy, pandas and Data Science/ML Libraries such as sklearn, matploilib. It also uses NLP and ML Algorithms. The dataset used is a file named "jobs.csv". It displays the job titles and the skills required for the same.
Modular Natural Language Processing workflows with Keras
A small LLM completely made and trained from scratch
A reminder app which can store medicines for multiple users. Works totally offline without internet connection.