AI-Powered Clinical Exam Simulation
Budget: $250 – $750 USD
Project: AI OSCE Simulator
Category: AI / Web Development / Speech AI
Budget: $1200–2000
Timeline: 6–8 weeks total development
About the Project
We are building a fully AI-driven OSCE (Objective Structured Clinical Examination) simulator for doctors. The platform should allow a medical student to interact with an AI “patient” in a clinical station — similar to real OSCE format. The AI should respond dynamically based on the student’s questions and communication skills.
Important Requirement:
The solution must be fully open-source. No paid AI API integrations (e.g., OpenAI, Azure, Anthropic, AWS AI).
⸻
Key Features Required
1. AI Virtual Patient Interaction (Speech + Text)
• AI model plays the role of a patient (answers only what the patient would know)
• Student interacts by voice or text
• Speech-to-text: Whisper.cpp, Vosk, or other open-source options
• Text-to-speech: Coqui TTS or Mozilla TTS
• AI Model must be open source (recommended: Llama 3, Mistral, Qwen)
2. OSCE Case Engine
• Admin uploads clinical scenarios:
• Chief complaint
• History details (SOCRATES, PMH, meds, allergies, etc.)
• Vitals and physical examination findings if requested
• AI generates patient responses based on case data (not hallucinations)
3. Scoring + Assessment Module
• Analyze conversation transcript
• Checklist scoring (history taking steps, communication style)
• Generate automated feedback report:
• Missed history elements
• Suggested differential diagnosis
• Counseling score (clarity, empathy, clinical reasoning)
4. Web-Based User Platform
• Student dashboard
• Case selection page (filter by system: cardio, neuro, psych, etc.)
• Interaction screen (text + microphone button + AI response)
• Feedback report with the option to download as PDF
5. User & Session Storage
• Save transcripts, scores, and analytics
• Database (PostgreSQL / MySQL / Supabase free tier allowed)
Category: AI / Web Development / Speech AI
Budget: $1200–2000
Timeline: 6–8 weeks total development
About the Project
We are building a fully AI-driven OSCE (Objective Structured Clinical Examination) simulator for doctors. The platform should allow a medical student to interact with an AI “patient” in a clinical station — similar to real OSCE format. The AI should respond dynamically based on the student’s questions and communication skills.
Important Requirement:
The solution must be fully open-source. No paid AI API integrations (e.g., OpenAI, Azure, Anthropic, AWS AI).
⸻
Key Features Required
1. AI Virtual Patient Interaction (Speech + Text)
• AI model plays the role of a patient (answers only what the patient would know)
• Student interacts by voice or text
• Speech-to-text: Whisper.cpp, Vosk, or other open-source options
• Text-to-speech: Coqui TTS or Mozilla TTS
• AI Model must be open source (recommended: Llama 3, Mistral, Qwen)
2. OSCE Case Engine
• Admin uploads clinical scenarios:
• Chief complaint
• History details (SOCRATES, PMH, meds, allergies, etc.)
• Vitals and physical examination findings if requested
• AI generates patient responses based on case data (not hallucinations)
3. Scoring + Assessment Module
• Analyze conversation transcript
• Checklist scoring (history taking steps, communication style)
• Generate automated feedback report:
• Missed history elements
• Suggested differential diagnosis
• Counseling score (clarity, empathy, clinical reasoning)
4. Web-Based User Platform
• Student dashboard
• Case selection page (filter by system: cardio, neuro, psych, etc.)
• Interaction screen (text + microphone button + AI response)
• Feedback report with the option to download as PDF
5. User & Session Storage
• Save transcripts, scores, and analytics
• Database (PostgreSQL / MySQL / Supabase free tier allowed)