🏀 Sports Performance Analytics

• Developed a machine learning-based solution to help basketball players analyze and improve their performance using dashcam footage.
• Trained custom ML models for tracking player movements, analyzing game statistics, and providing actionable insights to athletes.
• Implemented the entire end-to-end codebase in Python, from data processing to model deployment and retrieval of analysis results.
• Worked extensively with data labeling for training object detection models using Roboflow.
• Leveraged libraries such as OpenCV, TensorFlow, and PyTorch to build the AI models.
• Deployed the solution for real-time analysis, helping players track progress via a mobile app.

💹 Forex Sentiment Analysis Dashboard

• Built an AI-powered financial dashboard that analyzes forex trends and sentiment for USD/JPY currency pairs by processing news articles.
• Integrated FinBERT to calculate sentiment scores, providing clients with a visual representation of market sentiment and trends.
• Developed filters for custom graphical visualizations and comparison tools to analyze forex data over different time periods.
• Deployed the solution on AWS ECS, ensuring scalable and reliable access to the data analysis platform.
• Utilized prompt engineering to enhance text summarization using Llama and transformers for sentiment analysis.

🎥 Text-to-Video AI Solution

• Created a text-to-video conversion tool using large language models (LLMs) such as Llama and Stable Diffusion for AI-generated video content.
• Engineered prompts to optimize the LLM outputs, generating coherent visual and audio elements for the final videos.
• Developed a solution to convert text prompts into realistic videos with synchronized speech using gTTS (Google Text-to-Speech).
• Managed the full video generation pipeline, including model training, content creation, and video rendering.
• Deployed the solution for internal demos, showcasing AI-driven automation in creating marketing and explainer videos.

🌐 Portfolio Website for Goyal Fertilizers & Commodities

• Designed and developed a responsive portfolio website for a family business using React.js for the frontend and Node.js for backend operations.
• Implemented modern web design practices, ensuring the website was mobile-friendly and optimized for SEO.
• Used REST APIs to handle dynamic content and integrated authentication for secure access to data.

💻 Flutter & React Apps

• Built multiple Flutter-based mobile applications during college, including a Weather Forecast App and a Hidden Calculator Vault App.
• Utilized Firebase for real-time data storage and authentication services in the mobile apps.
• Created React.js projects such as to-do lists, personal blogs, and small web utilities, gaining hands-on experience in frontend development.
• Demonstrated expertise in Dart, JavaScript, and modern web development tools.