A game recommendation system powered by Google Gemini offers seamless scalability and natural language query handling. It features a user-friendly chatbot interface, integrates user feedback, and employs logging with Langsmith. Deployment is managed with GitHub Actions, AWS ECR, EC2, and Terraform for reliable performance and continuous improvement.
Langchain_QA is a question answering app that combines cutting-edge technologies for efficient and accurate responses. It uses the RAG model for retrieval and generation, powered by Gemini's large language model capabilities. Langchain's document organization and FAISS for fast search ensure swift retrieval of relevant information. Chainlit provides a user-friendly interface, while automation tools and cloud infrastructure enable easy deployment and scalability.
This is AI Research Assistant repository using Gen
AI and RAG model. This AI Research Assistant app is
powered by Google Gemini.
It helps in question answering about the provided
research paper by uploading them through Streamlit ,
we save it in the Data folder and clean the document,
index it by using Llamma-Index using Gemini
Embedding Model.
Anidex is a real life pokedex for knowing about animals on the spot with scanning or clicking the picture of the animal. Then the app will respond with a prediction of which possible animal is it with few basic details in both text in screen and as voice message like any voice assistant
My Sweet Home is a House Price Prediction and Property Recommendation Flask app. This app is designed to predict house prices and recommend similar housing properties based on a saved dataset.
When predicting the accuracy of housing properties for sale, it is approximately 90%, whereas for rental properties, it is about 70%.
Along with the house price predictions users will also get a list of 6 most similar properties that match the given criteria and also show the average percentage of cosine-similarity for those 6 recommended properties.
This is a banking project where you can create your accout, deposit, withdraw and transfer money and also able to see the history of your transactions through HTML CSS website interface.
This Customer Churn Prediction Flask app is designed to predict customer churn through a trained model with 90% accuracy. ( Please be patient if the live link takes time as it is hosted on render free tier )
This is a web scrapping project.
I have used Scrapy and Selenium in this project and scrapped data on Housing Properties in major cities of India at 2023
The results of the project: This project is able to scrape 27900 data with 70+ features
This is a website intended to support and promote our initiatives of Aakshar. With attractive visuals, we've tried to lure users to visit our website. Here, we've tried to explain our objectives and the areas we are also focusing on, the hidden talents of the children of economically weaker sections are showcased here. This also works as a crowdfunding platform.
Looking forward to hear from you !!
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