Chest X-ray Diagnosis Agent
Budget: ₹1,500 – ₹12,500 INR
I need an intermediate-level, causal multimodal agent that can take raw chest X-ray images, link them with the corresponding clinical notes and output a clear diagnosis pipeline. The workflow must cover three core functions: automatic image analysis, robust disease prediction focused on thoracic findings, and the generation of both text and graphical reports (heat-maps, saliency overlays, or similar visual explanations).
All processing will involve X-rays only; CT and MRI are outside the project scope. The system must ship with fully commented, runnable source code and deliver reliable, end-to-end results on a small validation set so I can demonstrate functionality immediately.
Deliverables
• Clean, modular code (Python preferred) that loads chest X-rays, parses the paired report text and produces causal attention/feature maps.
• A disease prediction module that outputs probability scores plus a concise textual summary.
• A dual-format report creator that writes a human-readable paragraph and embeds the supporting graphics.
• README with setup instructions and a short demo notebook or script.
Timing & budget
The total budget is fixed at 8 000, with payment released in two milestones: 60 % on a feature-complete prototype, 40 % after final hand-off and quick bug fix round. I need everything wrapped up by the end of next week, so please confirm you can meet the timeline before we proceed.
The main element is causal learning into project.
All processing will involve X-rays only; CT and MRI are outside the project scope. The system must ship with fully commented, runnable source code and deliver reliable, end-to-end results on a small validation set so I can demonstrate functionality immediately.
Deliverables
• Clean, modular code (Python preferred) that loads chest X-rays, parses the paired report text and produces causal attention/feature maps.
• A disease prediction module that outputs probability scores plus a concise textual summary.
• A dual-format report creator that writes a human-readable paragraph and embeds the supporting graphics.
• README with setup instructions and a short demo notebook or script.
Timing & budget
The total budget is fixed at 8 000, with payment released in two milestones: 60 % on a feature-complete prototype, 40 % after final hand-off and quick bug fix round. I need everything wrapped up by the end of next week, so please confirm you can meet the timeline before we proceed.
The main element is causal learning into project.