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Chatting with PDF

A project aimed at creating a LangChain application using Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) to answer questions based on PDF documents
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Crop Suitability Prediction

This project aimed to create an accessible solution that brings farming to the everyday person, leveraging machine learning for crop suitability prediction. The machine learning model predicts the most appropriate crop to grow based on factors such as region, temperature, rainfall, altitude, and irrigation status..
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App-based Empty Parking Spot Detection

The project was aimed to detect empty vehicle spots in parking by mobile based application with the help of sensors implemented using an Arduino board. Wrote the Arduino code to help detect cars using UV sensors and to change the color of LEDs. The data was visualized on mobile app using Bluetooth.
Parking Mini

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Password Cracker

The project’s goal was to developed a website to crack and validate the password using MD5 of registered users and validate the password as strong, moderate, and weak. To do so a list of 2000 commonly used passwords was used and tested using permutations with 0-9 digits and special characters. To optimize, the password was restricted to use at most 2 numbers and 2 special characters. Password Cracker

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Pitt Digital Scholarship

A web application to search for people, units, areas, methods, tools, and resources required for scholarships with special privileges given depending on the permission level. My role was to query and construct the graph database using Neo4j, build APIs for CRUD operations on the SQL database, and deploy the website using Google Compute Engine.
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