Vignesh Singh

• Developed a MERN stack website, StayCation, similar to Couchsurfing.
• The platform connects travelers with local hosts for unique cultural experiences, personalized recommendations, and affordable accommodation.
• Utilized Google One Tap Login for seamless user authentication, Material UI to create a user-friendly design, and Mapbox to integrate interactive maps, providing visual representations of accommodation locations.

• Analyze the daily return data of stock/key indices. Design a GARCH(generalized autoregressive conditionally heteroscedastic) model for volatility prediction and stock recommendation.
• The model takes in the stock’s daily return of the last five years from yfinance REST API and estimates the volatility of the stock for next 5 days.
• Deployed the model on a website based on Django, JavaScript with stock price Dashboard. The website is live on render.

• Built an Expense Tracker Website using Django, JQuery, and PostgreSQL.
• The website has CRUD operations of Expenses and Income. Used Chart.js to generate Expenses/Income summary page that includes a Dashboard and Graphs.

I built an Automatic Gardening System to tackle the growing problem of water scarcity by more efficient use of water for gardening The project was based on IoT(Internet of Things), Arduino, Weather API, and the use of AI, fuzzy logic.
• The gap identified by us was to use real-time and future weather data from Weather API instead of solely relying on multiple sensors and the use of fuzzy logic, which increased the efficiency and reduced maintenance effort.
• Our project decreased the… Show more

I built an Automatic Gardening System to tackle the growing problem of water scarcity by more efficient use of water for gardening The project was based on IoT(Internet of Things), Arduino, Weather API, and the use of AI, fuzzy logic.
• The gap identified by us was to use real-time and future weather data from Weather API instead of solely relying on multiple sensors and the use of fuzzy logic, which increased the efficiency and reduced maintenance effort.
• Our project decreased the water used for gardening by almost 35% on a normal day and by more than 60% in the monsoon season as we use future weather data to decide if the plant needs to be watered. Show less

Built a Machine Learning code in Python for the prediction of results of Premier League matches.
The project analyzed data of the previous ten years based on 16 parameters of each team (goals scored, conceded, expected goals, etc.) by different algorithms like Naive Bayes, SVM, Random Forest.
• The accuracy of the model was around 94% with SVM being the most consistent.

• Designed an ERP(Enterprise resource planning) system to digitize the company’s operations using PHP, JavaScript, SQL, HTML, and CSS.
• The ERP system has automation features like automatic PPT and Excel generation, a scheduled mailing system, and an automated billing system.
• This automation reduced the time required for daily tasks to a third and decreased the chances of errors in these tasks.