runtime-error786
MERN | React Native | NEXT JS | LLM | Generative Ai | Django Rest frame work | Crew Ai | OpenCV | langchain | langgraph | Phidata | LLMOPS
FreelancerPakistan
Pinned Repositories
468-facial-landmark
BioQuery
In that project user ask any medical related question from chatbot.
Calculator
Chatbot
live link
Context-Compression-Retriever
E-Mart
Welcome to our Online E-Mart System project! This project aims to develop a robust web application catering to guests, administrators, and users, providing a seamless shopping experience. Our goal is to enhance skills in web development, database management, and system administration through this project.
FlavorFusion-Website
Flavour Fusion offers a variety of tasty foods like pasta, pizza, burgers, desserts, and sandwiches.
Investment-Property-Agent
SmartHire
SmartHire simplifies recruitment by connecting recruiters, candidates, and admins with AI-driven tools. It streamlines job postings, AI interviews, CV parsing, and subscription-based services via a user-friendly interface.
Tech-Gadget-website
runtime-error786's Repositories
runtime-error786/SmartHire
SmartHire simplifies recruitment by connecting recruiters, candidates, and admins with AI-driven tools. It streamlines job postings, AI interviews, CV parsing, and subscription-based services via a user-friendly interface.
runtime-error786/YouTube-Summary
This project allows users to provide a YouTube video URL, retrieve its transcript, and generate a concise summary. We use the youtube_transcript_api to extract captions, process them, and then pass the full transcript to a Groq model for summarization. The entire process is integrated into a Streamlit app, providing a seamless interface for users t
runtime-error786/Abstractive-text-summarizer
runtime-error786/Adaptive-Self-RAG
runtime-error786/Cart-Pole-RL-agent
Using Neural Network Model
runtime-error786/CartPole-DQN
runtime-error786/Cliff-walking-RL-agent
runtime-error786/custom-discord-bot
runtime-error786/Custom-Slack-Bot
runtime-error786/DistillBERT-BERT-ALBERT-QA
runtime-error786/encrypted-conversational-rag
runtime-error786/Extractive-Text-Summarizer
runtime-error786/F1-Racing-bot
runtime-error786/Gmail-RAG-automation
runtime-error786/InterviewPrepAI
runtime-error786/Invest-Vision
runtime-error786/KeyLogger
The project is a keylogger application that records user activity (keystrokes, mouse actions, screenshots, and audio) and sends periodic reports via email. It involves modules for system information, input capture, logging, and reporting, contributed by a team of five developers.
runtime-error786/LLaMA3-CustomTraining
runtime-error786/NER-with-BERT-LSTM
NER with BERT and LSTM
runtime-error786/NeuroSnake
runtime-error786/NextJS-VoiceCapture
This project is a voice recording and transcription app built with Next.js, using speech recognition API to capture and convert speech to text in real time. It allows users to record and view their spoken words instantly, with the option to start, stop, and reset the transcript. Perfect for applications like voice notes, transcription, or accessibi
runtime-error786/OpinionAnalyzer
runtime-error786/Personalized-Content-Recommender-System
runtime-error786/RAG-CI-CD-pipelining-llmops
runtime-error786/react-agent-custom-implementation
runtime-error786/reactive-and-selfask-agents
runtime-error786/runtime-error786
runtime-error786/Self-RAG
runtime-error786/SpamDetect
This repository contains a machine learning project for classifying emails as spam or not spam (ham) using a transformer-based model. The project utilizes BERT (Bidirectional Encoder Representations from Transformers) to classify text messages. The classifier is trained using a custom dataset of labeled text messages (SMS spam collection dataset),
runtime-error786/text-vectorization
This repository demonstrates various text vectorization techniques including Bag of Words (BoW), TF-IDF, N-grams, and Word2Vec (CBOW,SKIPGRAM) using nltk,Gensim and Scikit-Learn. The steps outlined here show how to convert textual data into numerical vectors, which are essential for machine learning models.