Aspiring data scientist • Hacker Rank python certified • Machine learning • Deep learning • Team player & Strong communication • Love to build projects which makes life easier 🚀
This voice assistant is a devloping project which has features added to it everyday it has sentiment intensity analyzer which reacts to the users prompt according the thier emotion the model has a inbuild chatgpt text davinci 003 model and it has some special features which includes time , pywhatkit , webbrowser , time etc.
This ai model has 3 features in it .It comes with a ChatGPT model name text-davinci-003 which the user can interact with and DallE2 model which is used to generate image according the users prompt and PandasAI which a library from OpenAI which helps the user to get all the information about the dataset just by passing prompt to the code and finally a visualization using plotly library which is used to give graphical plots according to the users preferences and user can download the plot and the grouped data as xlsx format
This a project about movie recommendation system it uses content based recommendation using cosine similarity here i have vectorized using count vectorizer which vectorizes the tags of the data and compares it with the other tags using cosine similarity so if these two tags are similar the movie is recommended to the user and for the images i have used TMBD website where the movie id is passed and the poster of movie is requested by requests package
This project is about Dall-E is a generative AI model which is used to generate image from text. Dall-E is a neural network and is able to generate entirely new images in any number of different styles as specified by the user's prompt.I have made a streamlit app so that everybody who wants to experience how Dall-E can feel free to use it
This is app which helps you to monitor your ram and cpu usage of your pc and it helps to collect real time data from your pc while you are doing any intensive tasks like gaming or training a model this app helps you to monitor and it stores it as excel file which you can download and use it for further analysis of your pc and to sort any problems with your pc and to take further steps in future
This project is about langchain model which is able to answer any kind of answer thrown to the model from the uploaded pdf . It works by extracting the text from the pdf and splits it into chunks and the chunks are further converted into embedding which is vector representation of the meaning of the text and which is going to be stored in your knowledge base when a user asks a question to the model it embedds the user query and converts it into same vector representation which the performs a schematic search algorithm here we are using FAISS algorithm(Facebook AI Similarity Search) which searches for the match and using LLM(Large Language Model) like Chatgpt the ranked results are shown to the user as text