This repository consists of our Final Year Project. You can find everything starting from our code to all the resources in this repository

TensorFlow Serving + Streamlit! ✨🖼️

This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.

AI voice assistant web app built using SpeechRecognition,pyttsx3, and streamlit open-source libraries

A web app for translating from one language to another.Almost all languages are available.App also generates an audio file of the translation and lets you download the audio file.

Contribution to the LabLabAI AI Challenge Hackathon October 2023

✈️ AI-powered travel planning system with budget optimization, multi-source search, and personalized recommendations built on Supabase + PGVector, LangGraph Agents, Dragon DB, and NextJS 15, TailwindCSS

This project is a simplified front end clone of Netflix and is created using Python and MySQL. To run the code, pip install streamlit and type "streamlit run /python file path/" in the command prompt. Login credentials can be taken from the database.

An interactive AI chatbot built with Streamlit and Groq API using the powerful llama-3.3-70b-versatile model. Features include a modern UI, memory toggle, and downloadable chat history. Ideal for testing LLMs or deploying a smart assistant in real-time.

Microservice built with a streamlit UI, utilizing a bottle.py server and Spacy for named entity recognition. Instructions provided to run locally or build up with Docker-compose.

Database of 'Prisons in India'

A Python package that helps build Streamlit apps in line with UNDP Design System.

JanAr: GUI application leveraging GPT-4-Vision and GPT models to automatically generate engaging social media captions for artwork images. Customized for a glass workshop and picture framing business, it blends artistic insights with effective online engagement strategies.

Detailed walkthrough of a data science project for the Kaggle House Prices challenge, covering data cleaning, EDA, feature engineering, and regression modeling.