class Harsha:
def __init__(self):
self.role = "MS Computer Science"
self.university = "Vanderbilt University"
self.location = "Nashville, TN"
self.interests = ["Deep Learning", "Full Stack Devlopment", "LLMs"]
self.currently_building = "AI tools that actually solve problems"
def say_hi(self):
print("Thanks for stopping by! Let's build something cool together π")
me = Harsha()
me.say_hi()|
Translating sign language to text in real-time Using deep learning to bridge communication gaps. Detects American Sign Language fingerspelling and converts it to readable text.
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Fighting misinformation with AI A detection toolkit using CNNs and transfer learning to identify manipulated media. Because truth matters.
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Making research accessible to everyone Pipeline that transforms dense research PDFs into engaging, easy-to-understand stories using LLMs. Perfect for students and educators.
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Performance analysis done right Comprehensive benchmarking suite for classical graph algorithms - BFS, DFS, Dijkstra, A*, Max Flow, and more. With visualization.
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Spotting AI-generated content Building tools to distinguish between human and AI-generated text. Crucial for the age of generative AI.
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Explore all 37 repositories From web apps to ML experiments, I'm always building and learning something new. |
- π Working on multimodal AI systems
- π± Diving deeper into LLM fine-tuning & optimization
- π― Open to collaborating on AI/ML projects
- π¬ Ask me about Deep Learning, Computer Vision, NLP
- β‘ Fun fact: I turn coffee into models that (sometimes) work