# M-2.5

- **Event:** [Built with Opus 4.7: a Claude Code hackathon](https://cerebralvalley.ai/e/built-with-4-7-hackathon)
- **When:** Apr 21 at 12:00 PM – Apr 27 at 2:00 AM (EDT)
- **Where:** Online
- **Team:** [Kavin Thakur](https://cerebralvalley.ai/u/auraCodes), [Naman Goyal](https://cerebralvalley.ai/u/NamanGoyal)
- **GitHub:** https://github.com/auraCodesKM/sath_claude
- **Demo video:** https://drive.google.com/drive/folders/1lmRiyzTEk3X12Au4pBaHdIXVuErIvL1j?usp=drive_link
- **Gallery:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery
- **Page:** https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/137

Saath is a voice-first AI medication companion for elderly Indian families, built entirely inside the Telegram chat they already use. A 68-year-old patient simply sends a photo of her doctor’s prescription, and Saath reads handwritten prescriptions in Hindi, English, or Tamil. If any field is unclear, it asks for clarification instead of guessing. Once the medication list is updated, a Claude Managed Agent runs autonomously using four custom tools: lookup_drug_info, check_pair, check_contraindication, and report_findings. It systematically checks every drug combination and every medical condition for clinically significant interactions. If no issues are found, both the patient and her daughter, often living 800 km away, receive one simple message: “No issues were found in your medicines.” If a risk is detected, such as Warfarin and Aspirin together, both phones receive a severity-graded clinical warning. The same Telegram chat also handles voice notes in Hindi, scheduled reminders with a personalized voice, smartwatch critical-alert forwarding, lab PDF parsing into plain Hindi, weekly doctor and family PDF reports, and an emergency-services regex bypass. No app installation. Just messages.

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Markdown version of https://cerebralvalley.ai/e/built-with-4-7-hackathon/hackathon/gallery/137. Site index for agents: https://cerebralvalley.ai/llms.txt · full text: https://cerebralvalley.ai/llms-full.txt