SYED RAHMATH's repositories
Smart-Assistant-RecAI-Store
The AI-Powered Online Store is an innovative e-commerce platform that leverages the capabilities of artificial intelligence to enhance the shopping experience. Our project seamlessly integrates three core features, making it a one-stop shop for shoppers and a comprehensive solution for business owners.
MedSymphony
MedSymphony is a web application designed to predict potential health conditions based on user-provided reviews. The application utilizes NLP(Natural Language Processing) and machine learning to analyze text input and provide predictions related to specific health conditions. Additionally, it offers the top recommended drugs, Info and precautions.
MSE-Chatbot
MultiSource Explorer Chatbot is a Flask-based web application that enables users to interact with a chatbot using either URLs or PDF documents. The chatbot utilizes OpenAI language models and leverages the langchain library for natural language processing and information retrieval.
Image-Caption-Generator
The Image Caption Generator is a fascinating deep learning application that utilizes the power of transformers to generate textual captions for images. It combines Computer Vision and Natural Language Processing (NLP) techniques to understand the contents of an image and generate relevant and coherent captions.
Intellibot
This project combines the power of OpenAI's GPT-3.5 Turbo and DALL·E models to enable chat-based conversations and image generation. It also incorporates additional features such as voice listening, speech synthesis, themes, and an interactive user interface.
Loan-Approval-Prediction
This project is an interactive web application that predicts the approval status of a loan based on various user inputs. The prediction is made using a Support Vector Machine (SVM) classifier model, which has been trained on historical loan approval data.
Speech-Emotion-Detection
The goal is to train a model to detect emotions like calm, happy, fearful, disgust from audio clips using the RAVDESS dataset. The model can then be used to classify emotions in new audio samples.
Property-Price-Prediction
The Property Price Prediction Website is a data science project that builds a web application to predict property prices based on property features. Using machine learning techniques like linear regression and scikit-learn, a model is trained with the Bangalore home prices dataset from Kaggle.
Movie-Recommender-System
This project is a movie recommendation app based on a content-based machine learning algorithm. The app suggests similar movies based on the selected movie's attributes such as genre, release year, and rating.
Sales-Dashboard
Unlock real-time sales insights, drive growth with accurate sales forecasting, identify untapped opportunities, optimize strategies, and enhance efficiency with data-driven decision-making.
IPL_Matches_EDA
This project focuses on analyzing the IPL Matches dataset from 2008 to 2022 using Exploratory Data Analysis techniques. The dataset provides valuable insights into the matches played in the Indian Premier League (IPL).
PeriodicTableDatabase
This project implements a Periodic Table database using PostgresSQL and Bash, allowing users to search for information about elements and perform various database operations.
Number_Guessing_game
This is a Bash-based number guessing game which stores users data in PostgresSQL database where users can guess a secret number, receive feedback on their guesses, track their game statistics, and interact with a PostgreSQL database for user management.
HR-Analytics-Dashboard
The HR Analytics Dashboard presents key performance indicators, such as attrition rate and average salary, along with visualizations including tree maps, donut charts, and bar graphs, enabling users to analyze attrition by gender, education, age, and job role, while providing the ability to filter data by departments.
Finance-Dashboard
This finance dashboard provides an insightful analysis of various financial metrics for a sample dataset. It presents information on sales, profit, orders, customers, quantity, revenue performance, regional performance, sub-category ranking, and profit vs revenue for the years 2018 to 2021
World-Cup-Database
fcc-worldcupdatabase
Sales_Dashboard
A sales dashboard created using looker studio