
1
1
Pakistan
1 year of experience
I am a Software Engineering student with a strong interest in Artificial Intelligence, Machine Learning, and AI Automation. I am currently developing my skills in Python, SQL, n8n, Agentic AI, RAG systems, and AI-powered workflows. I enjoy building practical projects that solve real world problems and help businesses automate their tasks. My goal is to become a skilled AI Engineer and use technology to create innovative solutions while continuously learning and improving my skills.

THE PROBLEM After leaving the hospital, many elderly patients go home with a discharge summary they can't easily read or remember. They forget doses, don't know who to ask, and families can't tell if the plan is being followed. Typing is hard for them, and general chatbots may guess or give unsafe medical advice. OUR SOLUTION Sehat Saathi ("Health Companion") is a voice-first web app with patient and caretaker sides. Patient app: - One big microphone button: ask a question, get a spoken and written answer. - Every answer shows the numbered line of the discharge summary it came from, plus a confidence label (Certain, Possibly, Unknown). - If the answer isn't in the summary, the app says so and adds the question to a review queue for family or doctor. It never diagnoses or advises doses. - Before saving a reminder or booking a visit, it repeats what it heard and waits for a big Yes or No. - Full-screen medicine reminders and mock appointment booking. - SOS button and emergency contacts. A fixed safety filter spots red-flag phrases such as chest pain, shows an emergency screen, tells the patient to call the emergency number, and alerts family. No medical advice. Caretaker app: - Dashboard of open alerts, review items, reminders taken or missed, and the next visit. - Alerts show the patient's exact words, with a "handled" action. - Private pairing: the patient shows a one-time key valid for 10 minutes and must approve the link. They can remove it any time. SAFETY The red-flag check runs before the language model and overrides it. Answers are grounded in the patient's own summary. Demo data is synthetic. This is a prototype, not a replacement for a doctor or emergency services. BUILT WITH Mobile-first web app designed in Figma, with a FastAPI backend, speech-to-text, and a language model served with vLLM. [Add your AMD details here.
18 Oct 2026