EngageAI – The Smart Social Media Growth Agent

Project Story Inspiration Social media is evolving rapidly, but managing engagement manually is time-consuming. Many users struggle to keep up with trends, respond to followers, and grow their audience effectively. We wanted to build an AI-powered agent that automates engagement while ensuring authentic interactions and strategic growth on platforms like Twitter (X) and Telegram.

What We Learned Throughout development, we explored NLP models, sentiment analysis, and predictive engagement analytics. We also learned how to integrate AI with blockchain technology, leveraging NEAR Protocol for decentralized data storage.

How We Built It 1️⃣ Data Collection & Sentiment Analysis – Used Twitter API and Telegram API to analyze trends. 2️⃣ AI-Powered Auto Engagement – Implemented OpenAI’s GPT-4 for smart replies and meme generation. 3️⃣ Blockchain Integration – Stored engagement metrics on NEAR Protocol for transparency and decentralization. 4️⃣ Frontend Dashboard – Built using React.js & Next.js for easy AI customization and analytics. 5️⃣ Deployment & Testing – Hosted on IPFS, with backend services running on FastAPI & Node.js.

Challenges Faced 🚧 API Rate Limits: Optimized API calls to comply with Twitter and Telegram limits. 🚧 AI Authenticity: Trained models to maintain a natural and engaging tone. 🚧 Blockchain Storage: Ensured efficient data handling on NEAR Testnet.

Built With

• aurora-apis:-twitter-api
• built-with-frontend:-react.js
• decentralized
• fastapi-(python)-ai/nlp:-openai-gpt-4
• for
• hugging-face
• ipfs
• next.js-backend:-node.js
• telegram-api
• the-graph-database:-mongodb
• vader-sentiment-analysis-blockchain:-near-protocol