PrachetShah/Valorant_Assistant_RAG
Valorant Chatbot Assistant with OSS to implement simple RAG
SDE || Experience in TS, Python, Java, C++ || React, Node, Flask, Django, Springboot
Valorant Chatbot Assistant with OSS to implement simple RAG
Springboot APIs with Relationships using JPA with advance concepts like DTO, Mapping, etc along with all Testing Types. Read README.md for dets
My Codeforces Solutions, give a star if it helped you
Problems from Leetcode, GFG and Hackerrank. Star the Repository if it helped you
Assignment with Java Topics, Servlets, JDBC
Imlementation of Different GAN models to recreate fashions accessories using GAN Architecture
Food Truck Monitoring Application
100 Projects from Python 100 DaysOFCode Pro BootCamp
Classifying and analyzing server logs, which contained critical information about user behavior, including browser details, IP addresses, geographic locations, search patterns, site URLs, and other relevant data. The main objective was to build a model that could accurately predict whether a user belonged to the HCP
Ecommerce site created with React, Redux using Firebase for authentication and firestore database, along with testing using jest
Creating a REST API connected with Postgres DB with MVC Architecture having Data, Service, and API Layer
Creating a REST API of Books connected with Postgres DB with MVC Architecture having Data, Service, and API Layer
YOLO on Custom Dataset for Head Count Prediction in imgaes having Low Lighting
A Promotion Engine for small and large-scale companies to elevate their presence by creating customizable static and dynamic coupons. An admin page for coupon creation and reviewing analytics, a backend for coupon verification and redemption using Node.js, machine learning models for analysis based on customer demographics, API docs to integrate
•Achieved real-time analysis of over 10,000 Ethereum transactions scraped using Selenium analyzed with PySpark while also reducing the cost to store the massive data in a database by storing only the analytics instead of all the data stored as a container in Docker which can be pulled on any machine as a local image and run the service.
Developed an email monitoring bot utilizing NLP for flagging potential leads, Azure Cognitive Services OCR for Foreign Identity Verification checks through attachments, and SMTP for sending appropriate replies achieving an accuracy rate of approximately 85% with the NLP model accurately processing the email contents.
Blog Site created using Flask which has secure authentication, hosted on render with postgresql
Admin Only Library Management System application that can be run as a container on the cloud for creating/updating/deleting a student
Data Structures and Algorithms from both ZTM DSA Course and my personal learnings