Priyanshi Soni

Addresses AI hardware accessibility challenges for researchers and edge systems by optimizing inference on consumer graphics cards (NVIDIA RTX 4060). Proposes efficiency improvements achieving 45% reduced power consumption, 20% faster execution, with <2.5% accuracy loss. Enables secure, local AI applications for real-time image recognition in smart home systems, eliminating data transmission to remote servers.

Proposes a data-driven platform connecting universities, ed-tech firms, and publishers with academic influencers and experts. Facilitates three key scenarios: university course promotion, ed-tech partnership endorsement, and expert reviews of educational resources. Leverages influencer presence on social media platforms to enhance learning engagement and educational outreach.

Presents a smart gardening application designed for urban users to manage plant care effectively. Provides real-time alerts, personalized care schedules, and automated reminders for watering and fertilization. Built with Flask and Celery, supporting background task automation and scalability. Integrates IoT-ready architecture for future smart sensor integration and community-driven gardening support.

Evaluates and benchmarks advanced machine learning paradigms — DQN, A3C, DDQN, Evolution Strategies, and Federated Learning — across OpenAI Gym environments. Analyzes scalability, sample efficiency, and decentralized optimization capabilities to guide paradigm selection for distributed AI systems.

Proposes a Tactical Sign Language Communication System (TSLCS) designed for stealth and combat environments. Uses deep learning and RNNs to interpret hand gestures and facial expressions under extreme conditions, integrating strong data encryption and secure transmission protocols for reliable field communication.

A systematic, data-driven framework integrating IoT sensing and data analytics for urban wastewater management and predictive drainage modeling. Addresses stormwater overflow, drainage capacity planning, and sewage system monitoring through real-time sensor networks and ML-driven forecasting.

Proposes a role-based, moderated resource-sharing communication platform aligned with MOOC pedagogy. Integrates learning analytics to track collaboration patterns, optimize peer interactions, and provide instructors with actionable insights into student engagement and knowledge transfer.

Examines the role of Information and Communication Technology tools in enabling dynamic online learning environments. Evaluates digital platforms, collaboration frameworks, and pedagogical integrations that enhance remote education delivery and student engagement at scale.

Analyzes emerging patterns in cyber attacks and data breach incidents across industries. Presents a data-driven survey of threat vectors, vulnerability trends, and defensive strategies to inform organizational security posture and incident response planning.