Arjun Ajith - Projects | Full Stack Developer Portfolio

Stock Market Automator

Python Pandas Google Sheets API

Built an automated stock screening workflow to surface high-conviction trade opportunities across Nifty 50 stocks.
Detected golden crossover setups by identifying cases where the 50-day moving average crossed above the 200-day moving average with strong volume confirmation.
Focused the first version on Nifty 50 companies to keep the system simple, reliable, and easier to validate before scaling further.
Automatically logged every qualifying stock to Google Sheets, creating a lightweight signal dashboard for tracking crossover events in real time.

React Django MySQL

AmpPay is an all-in-one solution for energy management.
It provides real-time tracking, predictive billing, efficiency rankings, carbon footprint assessment, and a notification system.
The app seamlessly integrates microcontrollers for precise meter reading, enabling users to track energy consumption instantly.
It predicts future electricity bills based on historical usage patterns and compares users' efficiency rankings against neighboring households.
AmpPay empowers users to make informed decisions about their energy consumption and contributes to environmental sustainability by addressing carbon footprint concerns.

React Django OpenAI API

ConvoVoice is an AI-powered language learning app that helps users improve their fluency through real-time conversations.
It provides feedback on sentence structure and grammar, helping users refine their language skills over time.
Integrates OpenAI's GPT model to simulate human-like conversations and correct mistakes instantly.

Python Flask PostgreSQL

KnowledgeR is an interactive knowledge-sharing platform where users can ask questions and provide answers.
The platform uses a recommendation engine to provide answers based on user preferences and past interactions.
Incorporates natural language processing (NLP) to improve question understanding and matching relevant answers.

HTML CSS JavaScript

The TEDxMEC website is the digital platform for TEDx events hosted by Model Engineering College (MEC).
It serves as the hub for information about upcoming events, past talks, speakers, and ticketing details.
The website features a modern and intuitive design, providing visitors with easy navigation and access to relevant content.

React Node.js MongoDB

MerchHub is an online merchandise store developed for Excel MEC, offering a wide range of products including shirts, hoodies, bags, and other items branded with Excel MEC logos and designs.
The website provides users with a convenient platform to browse through the available merchandise, view product details, and make purchases securely.

React Django PostgreSQL

Vitalia.ai is a personalized nutrition app that recommends meal plans based on user health data, goals, and dietary preferences.
It utilizes machine learning to analyze health metrics and generate tailored suggestions for optimal nutrition.
Includes features like calorie tracking, macronutrient breakdowns, and integration with fitness apps for holistic health management.
Vitalia.ai aims to promote healthy eating habits and improve overall well-being through intelligent dietary guidance.

React Django MySQL

InterviewPrep is a peer-driven platform designed to streamline coding interview preparation.
Allows users to share real interview questions and experiences, filter content by company, college, or role.
Features mock interviews with peers of similar skill levels and detailed feedback exchange system.
Supports bookmarking of questions and real-time filtering for targeted practice sessions.
With a focus on collaboration, InterviewPrep helps users build confidence, track progress, and prepare effectively for technical interviews.