In this project, I made a resume scoring system. And it not only scores candidates based on Job Description & Resume but it can also have user profiles and their personal hiring preferences. So a p…

This service automatically reads your emails, summarises their content, and forwards the summaries to your Slack or Whatsapp. All this, without user having to do anything and it runs in background.

This is a website made with Google Antigravity agent. It is about task and notes. we can add tasks and notes with multiple other features like search, share & export.

An entirely offline, privacy-centric voice assistant that leverages lightweight local AI for speech-to-text (Vosk), large language model processing (GGUF via Llama.cpp), and text-to-speech (Kokoro)…

This project implements an advanced Conversational Document Search Agent utilizing the Retrieval-Augmented Generation (RAG) framework. It transforms custom document collections into an chat-enabled…

In this project, I made some function / tools & gave their access to Gemini LLM via its config parameter. So it can use tools such as web_search, read_mail, send_mail, get_news when required. For e…

An Reinforcement-Learning Agent for autonomous server autoscaling, trained with DQN(Deep Q-Network) in a custom Gymnasium environment.

This is a terminal based chat interface in which we give model our project dir path and it will take full code in its context and then we can ask questions and other things with our full code.

In this project, I made an agent in which I tried langchain agent. Bank gives us the raw API data, and then we organise that into a structured JSON. Then we pass that to LLM along with a tool which…

This project uses Google’s Custom Search to find top news from various web sources, organizes the results, and feeds them to an LLM. This ensures the user receives the latest information on topics …

In this project I added web search before LLM generates it's response. I used google custom search API and perform search. Take relevant results and then pass that onto LLM for it to give us lates …

This is a showcase of RAG(Retrieval Augmented Generation). Products are stored in SQL DB, then taken from there converted to embeddings and when we perform search, top X results(In this case produc…

This is a project made for practice to get familiar with various topics in various domains.