binbasri-in Goto Github PK
Name: Mohammed Ali Alsakkaf (Binbasri)
Type: User
Bio: A Tech enthusiast, pursing B.E in Computer science and engineering at BMSIT. A programmer From Yemen
Location: Bangalore, India
Blog: binbasri.me
Mohammed Ali Alsakkaf (Binbasri)'s Projects
2022_projects
anveshana24
binbasri
My website
binbasri-in
My Profile
binbasri_cli
My personal website in Command Line Interface
c_programs
a place of all my programs written in C programming language
college_work
creating notes and guides to help my classmates, collect labs codes, do college projects
cs50-content-chatbot
A try to use Assistant API to answer questions related to cs50 courses available in YouTube
cyber-buddy-backend
deploy to heroku
datascience
dna_profiling_service
A web application using Flask to provide a database for labs to save DNA data in much faster way using STR to optimize search and matching
eyrc22_kb_2668
A Repository for our submissions on e-Yantra competition 2022-2023
gsoc24-rag
A simple chatbot that is RAG with GSoC projects
hack4soc-pinnacle-performers-2024
Submit your final code in a folder named "pinnacle_performers"
hackbattle_web
ieee-ideasmelt-2024
new version of the Ideasmelt website as one of the initiatives by IEEE BMSIT
ieee_backend_task
A task for my application to ieee volunteering role
quizing_tool
reva_hack
This Repository to show our backend work
ros_tutorials
A ROS tutorials to help installing, configure, and check the working of different ROS functionalities
rvce-hack4soc-pinnacle-performs
static-leaderboard-page-with-dynamic-update
talk-with-documentation
A chatbot to talk to specific documentation of a tool that I want to learn or work with, to make it easy to learn it.
tensorflow_cpp_installation_tutorials
Tensorflow C++ workspace
translation-agency-system
A tool for translating text and documents using AI, this system will provide automations and flows for translation agencies to make their job easier
unstructured
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
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