Computer Science student building practical software across AI, full-stack development, and intelligent systems.
I like turning ambitious ideas into working products.
I build projects that combine software engineering with AI and real-world use cases.
Right now, a major focus is LifeLink AI — an emergency and healthcare platform designed around
patient records, nearby emergency services, analytics, AI assistance, SOS workflows, and connected healthcare services.
I also experiment with developer tools, analytics platforms, local AI systems, mobile applications,
machine learning projects, and infrastructure.
python javascript flask node.js react native html css mongodb sqlite firebase docker git linux ai/ml
LifeLinkAI · healthcare, ai, full-stack
Emergency and healthcare platform connecting patients with medical records,
analytics, nearby emergency services, AI assistance, SOS features, and healthcare providers.
LocalGPT · ai, llm, local inference
Local AI experimentation focused on running language-model-powered features
with greater control over the model and application stack.
Multi-Tenant-Analytics-Platform · flask, analytics, websocket
Multi-tenant analytics platform for isolated tenant data, metric ingestion,
real-time dashboards, and embeddable analytics experiences.
vitap_student_app · mobile, student tools
Student-focused application built around making useful campus information
and workflows easier to access from a mobile experience.
Stock-Prediction-System · machine learning, python
Machine-learning project exploring data-driven stock prediction and
the practical application of predictive models to financial time-series data.
Adaptive-Priority-Cycle-Scheduling · algorithms, operating systems
An experimental CPU scheduling project exploring adaptive priority and
cycle-based scheduling behavior.
This profile keeps the same minimal, developer-focused visual system as the reference README,
but intentionally removes the portrait and keeps the focus on projects, technologies, and activity.
The stat graphics and section headings are local SVG assets rather than third-party README cards.
The included generator script can be adapted to refresh GitHub activity graphics automatically.
Built for charanachanta2.