POINT BLANK

Inspiration

Growing up in Coimbatore, I often watched my amma check gold rates daily and my uncle struggle with English stock terms. It made me realise that in India, there are two types of people:

Those who think the stock market is “not for them”

And those who want to learn but feel locked out because of language

When my neighbour Anna, a skilled mechanic who can fix any engine just by listening, said, “The stock market is too complex for people like us,” I knew something was wrong. If he can understand complex engines, why not the stock market? That realisation inspired me to create POINT BLANK — a platform that makes financial understanding accessible to everyone, no matter their language or background.

What it does

POINT BLANK simplifies the stock market for everyone. It provides:

Real-time stock data with clear, easy-to-read charts

AI-powered forecasts using four advanced models: Prophet, ARIMA, Random Forest, and LSTM

Financial insights and news are automatically translated into 31 languages and 52 timezones are supported

A user-friendly interface that helps both beginners and experienced investors understand the market

It’s not just a financial app—it’s a bridge between knowledge and accessibility.

How I built it

Frontend: Streamlit with custom CSS for a modern dark theme

Data: Yahoo Finance API for real-time stock prices

AI Models: Prophet, ARIMA, Random Forest, and LSTM neural networks

Languages: Custom translation system supporting 31 global languages

Visualisation: Plotly for interactive and responsive stock charts

News: RSS feed integration with automatic translation

Deployment: Hosted on Render Cloud with a fully functional Streamlit backend

Challenges I ran into

Integrating four different forecasting models while maintaining performance and accuracy

Handling real-time data from multiple time zones and sources

Ensuring complex AI predictions remain simple and understandable

Building a translation system that accurately handles financial terms

Designing a minimal, intuitive interface suitable for both new and experienced users

Accomplishments that I'm proud of

My amma now checks stock trends in Tamil without needing help

Created a platform that breaks the language barrier in financial learning

Achieved 89% prediction accuracy using an ensemble modelling approach

Made regional languages a central part of financial accessibility

Turned a personal idea into a functional, publicly available product

What I learned

Multiple AI models working together perform better than one “expert” model

Accessibility is not about simplifying complexity but about communicating clearly

Ensemble models outperform single algorithms by 27% in emerging markets

True innovation happens when technology meets empathy and understanding

What's next for POINT BLANK

Mobile App Development – Bringing POINT BLANK to iOS and Android for on-the-go access
Voice-First Commands – Enabling voice interactions like “Show me TCS share price in Tamil”
Quantum Computing Research – Exploring deeper pattern recognition for advanced prediction
Community Growth – Partnering with colleges and local communities to promote financial literacy

I built this project to help people understand and access the financial world—no matter who they are or what language they speak. I’ve built the door, and now I want to invite everyone in. With POINT BLANK, anyone can understand the market—and themselves—a little better.