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Projects

ConVoBot AI : AI Chatbot using Spring AI

Technology: Java, Spring Boot, Spring AI, OpenAI API

 

  • Developed a real-time AI chatbot integrating Spring AI and OpenAI API.

  • Implemented REST endpoints for prompt handling and concurrency support.

  • Used Insomnia to test endpoint reliability.

Concordia ChatBot: Multi-agent Chatbot

Technology: Python, FastAPI, Ollama, OpenAI, Streamlit, ChromaDB, NLP, LLM, LangChain

  • Built a multi-agent chatbot using FastAPI and LangChain with dynamic agent selection and NLP APIs (Gemini, HuggingFace, VADER) for context-aware query handling.

  • Developed a Streamlit frontend for live chat, feedback, and performance tracking using ChromaDB and evaluation logs.

EasyPark4U - Parking Maagement System

Technology: Python, Django, PostgreSQL, RazorPay

A secure web app for society-based parking management. Chairmen and users register with email verification and gain access only after admin or chairman approval. Verified users can list and book parking slots for specific times, with payments via Razorpay (India) or Stripe (Canada). User Payments goes directly to the Parking Space owner's Account. Users get a reminder 30 minutes before their parking time ends.

Food Ordering App

Technology: Java, Spring Boot, React, MongoDB, RazorPay

  • Created Food ordering App using Java, Spring Boot, MongoDB for backend and frontend using React. Used Razor pay for payment. Where User can order the Food items from this website and particular restaurant can add food item see the orders and can change order status.

Job Posting Website

Technology: Java, Spring Boot, REST APIs, PostgreSQL

  • Built a full-stack job portal using Java Spring Boot and React, enabling recruiters to post jobs and manage applications, while job seekers can create profiles, search, and apply for jobs. Features include secure authentication, role-based access, and a responsive UI for seamless interaction.

Patient Management System, Micorservices

Technology: Java, Spring Boot, microservices, AWS, kafka

  • Created and deployed a secure production ready Detailed several Microservices for Patient management System. 

  • Integrated JWT authentication and containerized the app using Docker and deployed on AWS.

ShopEasy : E-Commerce Order System

Technology: Java, Spring Boot, RabbitMQ, MySQL, OpenAI API

  • ​Built a backend for E-commerce Order System using Java, Spring Boot and front end using React. Implemented Ai feature like auto generating image description

  • Included retry handling, decoupled services, and transaction logging.

Hybrid Movie Recommendation System

Developed a system combining Content-Based Filtering (genres + TF-IDF) and Collaborative Filtering (neural embeddings in TensorFlow/Keras) to provide hybrid movie recommendations. Features include clean preprocessing of user/movie IDs and evaluation using RMSE, MAE, Accuracy, Precision, and Recall on the MovieLens dataset.

Stocks Detailed Analysis and Prediction 

Technology: Python, Tensorflow, keras, LSTM, XGBoost, and CNN-LSTM Models, TextBlob and NewsAPI

Developed a Stock Price Prediction System integrating news sentiment analysis and deep learning to forecast prices of NIFTY 500  and S&P 500 stocks. Leveraged LSTM, XGBoost, and CNN-LSTM models using historical data, technical indicators, and real-time news sentiment. 

UCMAS WEBSITE

Technology: Python, Django, JavaScript

 

Developed a UCMAS website using Django, Python, HTML, CSS, JavaScript, and Bootstrap with modules for Listening Practice, Flash Cards, and Level Tracking. Built an admin panel for student admissions and automated email reminders to parents for next-level payments.

Banking Application

Technology: Java, Spring Boot, Spring Security, JWT, MySQL

  • ​Implemented secure banking workflows including user registration, account management, and fund transfers using Spring Security and JWT.

  • Applied layered architecture with exception handling.

BloodBank Management System

Technology: Java, Spring Boot, Spring Security, JWT, MySQL

  • ​Implemented secure blood bank management Website including user registration, account management, and fund transfers using Spring Security and JWT.

  • Applied layered architecture with exception handling.

lung Cancer Detection

Technology: Python, Django, CNN, MySQL

 

I developed a Lung Cancer Detection web application using Deep Learning (CNN), Python, and Django. The system allows users to upload MRI images, and the trained CNN model predicts whether cancer is detected. It also features a chatbot that provides hospital recommendations for detected cases.

Solo Web Service Front-End Website

Designed a solo web service creative website using HTML5,CSS3,JavaScript,Bootstrap,JQuery for business. In this website, I learned a full front-end website with awesome animations, also with google map.

Nord Farm Website

I developed the Nord farm website using NodeJS, JavaScript. In this website, the farmer can sell their products like vegetables and fruits. Pay using razorpay.

Blogging Website

I have Developed a blogging website using Django, Python, JavaScript, JQuery, and bootstrap in which users can log in and create blog. User Can also upload image or video in a blog, and also see all blogs which are created by all users and also send follow request to any users(author).

Attendance System with face Recognization

Engineered an Attendance System with Face Recognization System, using OpenCV, Python, Tkinter. The system takes Attendance using Face recognization and sends an email of the attendance(daily, monthly) to the parents of the students. Where I learned Tkinter and OpenCV.

Shopping And Blogging website

Make an Advanced shopping and blogging website using Django, Python, and Javascript. Users can shop for any product; payment can be done using Paypal and also with a chatbot in the contact section. The system sends emails to the user for order confirmation and also helps to track orders. On a blogging website, users can see all blogs, also have a movie recommendation system.

Twitter Clone

Developed Social Media Website using Django and Python, where users can log in using google and Login Form. Also, implemented trends, follow, followers. Users can also post images and videos.

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