Inspiration
We noticed how a single comment, tweet, or Reddit post from influential figures like Elon Musk can instantly move cryptocurrency prices. Retail investors often react too late, missing opportunities. This inspired us to build Coincidence
What it does
We noticed how a single comment, tweet, or Reddit post from influential figures like Elon Musk can instantly move cryptocurrency prices. Retail investors often react too late, missing opportunities. This inspired us to build Coincidence
How we built it
We built Coincidence using a combination of modern web and data technologies. The frontend is designed in React with Tailwind CSS for a clean, responsive interface, while the backend is powered by Flask to handle requests and integrate multiple APIs. We leveraged the Twitter/X API and Reddit API to fetch social media data and CoinGecko for real-time cryptocurrency prices. A machine learning model processes the posts to determine sentiment and predict short-term price changes, which are then displayed on the dashboard for easy visualisation.
Challenges we ran into
During development, we faced several challenges, particularly with the frontend. Connecting the backend to the frontend and ensuring smooth data flow from the APIs to the user interface proved tricky. Additionally, working with real-time social media data required careful handling to maintain responsiveness and accuracy, all within the limited time of the hackathon
Accomplishments that we're proud of
We’re proud of learning and implementing a machine learning model in a short time and successfully integrating it with our Flask backend, creating a functional system that predicts crypto price movements from social media sentiment.
What we learned
We gained hands-on experience integrating multiple APIs, handling real-time data, and deploying machine learning models for prediction tasks. Additionally, we improved our skills in coordinating frontend-backend integration
What's next for COINcidence
Looking ahead, we plan to increase the accuracy of our predictions beyond the current 70% by refining our machine learning models and incorporating more diverse data sources. We aim to expand the platform to include additional social media channels such as YouTube, Discord, and Telegram. Ultimately, we envision extending Coincidence beyond cryptocurrencies to stocks, NFTs, and other digital assets, providing users with a comprehensive market insight tool.

Log in or sign up for Devpost to join the conversation.