Ateeb Taseer's Projects
Introducing ArbiAssist: Leveraging RAG-based Local LLMs and ChromaDB for Streamlined Slack Interactions, Arbisoft's Policy Inquiries, and General Tasks.
Uses lstm neural network cells to create it. from Data preprocessing to building inference in just single video. So enjoy :) you me customise this chatbot by using different data set of whichever field you want to build chatbot of. chatbot are widely used nowadays specially in this covid era. so if you know how to build a chatbot you may use it for your own business purposes. in this era what we have used keras framework and LCYM cells.
Made a chess game using Ai, just like AlphaGo
I have created an AI Virtual Assistant which works like humans. It can recognize the human voice and respond accordingly. It can also perform various tasks such as sending emails, messages, etc. This project works by taking input from the user in the form of voice and then converting it into text. It then uses various algorithms to process this text and respond accordingly.
Drag & drop UI to build your customized LLM flow
A Python Flask-based web UI designed to facilitate the generation of text-to-speech using Suno AI's Bark.
Config files for my GitHub profile.
A simple Chatroom built in C programming language. The program is built uses multithreading for handling multiple clients.
Classification & Segmentation of Chest X-Rays on Large Dataset through Machine Learning techniques
This is merely for educational support where i am following the best resources related to deep learning while i am actually learning real time.
earthquake response simulation model using geospatial data in JavaScript and machine learning algorithms in Python.
Ai labs CEME
House Map Designer App is a new concept in interior design. This application helps users to create their own home map according to their taste with the help of various furniture items. The basic idea was to make use of this app for decoration purpose and also it can be used by interior designers for providing quick services to their clients. Users can apply colors to the rooms, change the orientation of the room, select different furniture items for each room, save maps and view them later. This app is completely based on the Google maps technology that helps users locate all the rooms on maps without any hassle. There are different modes of maps available for users like floor plan, 3D View, 2D View and satellite view. Maps can be saved as BMP image files or PDF files so that people can easily refer back to them. Users can also share these plans with others through SMS or email.
Snake game which learn through Genetic algorithm along with reinforcement learning
🏃 Python3 Solutions of All Problems in GKS 2022 (In Progress)
Solutions to the practice exercises, coding challenges, and other problems on Hackerrank!
I know that there is a lot of people who are interested in AI, but they have no idea how to start learning it. I'm here to make things easier for them. I have tried to help learning community by Solving Artificial intelligence challenges on Hacker Rank and to put scripting along with explanation of each code so that others can learn code and grow. I am sharing my solution to each challenge in the form of a script which has been written using Python language along with explanation. The script is also available in Jupyter Notebook format, so that you can run it on your local machine as well.
The aim of this task is to automatically select medical concepts related to each image, as a first step towards generating image captions, medical reports, or to help in medical diagnosis.
Medical image captioning using OpenAI's CLIP
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent