Hk669
working on AI Agents @atlanhq
Repositories
Select a repository to view its commits, contributors, and more.AutoGen-Llama3.2-Vision
demonstrates how to use Llama 3.2 models, specifically the 11B Instruct v1 version with AutoGen and OCR, through AWS Bedrock.
course-recommendation-system
Course Recommender System, powered by Flask, delivers tailored course suggestions based on user interests. Using content-based filtering and MongoDB integration
Open-Source-Recommender
Gitmatch - personalized recommendation system, that recommends open-source repositories based on your skills, topics and languages from your GitHub
Chatbot-gpt3.5
Chatbot built using Flask and the OpenAI GPT-3.5 turbo model. The chatbot allows users to interact with a language model powered by GPT-3.5 turbo and get responses based on their input.
bpetokenizer
(py package) train your own tokenizer based on BPE algorithm for the LLMs (supports the regex pattern and special tokens)
HacksArena
event/ hackathons management app using django, azure SQL, and AWS S3 with rewarding features for the activity
goods-rickshaw
highly scalable logistics platform that allows users to book transportation services for moving goods with Django
discordAI-bot
Retrieval Augmented Generation based AI Discord bot.
blog
my understanding/ works
DSA
My DSA and SQL journey.
Chatbot
The chatbot is a rule-based system that classifies user intents using a bag-of-words approach. It predicts intents based on the user's input, retrieves a random response from a predefined set of responses associated with each intent, and generates the appropriate reply.
AI-Marketing-Agents
This project utilizes a multi-agent architecture powered by generative AI (Gen AI) to automate the creation of personalized marketing campaigns.