Pathway AI

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  This is the assessment generator using LLAMA which will be shared to the students

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  This is an example of it

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  Session manager are for the student doubt solver

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  Showing the stats of the class

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  This is the AI doubt Solver using llama running locally on the system

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  These are the badges

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  These are the three options mentor are the students who shows consistency have proper certificates and badges

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  mentor and student chat thoroughly for doubt solving and llama will take care if the messages shared are vulgar or not if yes then blocked

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  This is the dashboard of the peer mentors

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  This is the Landing Page

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  This shows the payment of the mentors

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  This is for the acception of the students that mentor can take upto according to their availability

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  this is the teacher dashboard where the students enrolled stat is shown the marks students who need help and everything

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  This is the student dashboard with various features shown in the image

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  This feature in students dashboard which helps them to unlock badges showing their credentials and helping them to become a mentor

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  This is the animated lesson plan for students to learn efficiently

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  This is an example

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  This is the resume builder according to the position and student's profile the skills they have according to their profile

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  AI Mock interview which anaylsizes real time ans given by the user

Inspiration

India’s education system shows a massive gap between learning and employability. Students, especially in rural areas, lack access to personalized learning, real-time feedback, and opportunities despite being enrolled in schools.

What it does

Pathway AI is an offline-first, AI-powered learning platform that adapts to each learner’s pace, language, and understanding. It also enables a “learn and earn” model where students become peer mentors and access real job opportunities.

How we built it

We used React and Tailwind for the frontend, Node.js and Supabase for the backend, and integrated on-device AI models like LLaMA and Whisper. We also deploy the system on low-cost devices like Raspberry Pi, enabling entire classrooms to access the platform offline through a local network.

Challenges we ran into

Ensuring smooth offline functionality, optimizing AI to run on low-resource devices like Raspberry Pi, and designing for varying connectivity levels were key challenges.

Accomplishments that we're proud of

We built a fully offline-capable AI system, successfully ran it on low-cost hardware like Raspberry Pi, and created a scalable “learn and earn” ecosystem connecting education with income.

What we learned

We learned that building for real-world constraints low bandwidth, low-cost devices, and diverse users requires simplicity, efficiency, and strong system design.

What's next for Pathway AI

We aim to pilot in schools and NGOs using Raspberry Pi-based deployments, expand our mentor marketplace, partner with employers, and scale across rural and semi-urban India.

Built With

• fastapi
• llama
• react
• supabase
• tailwind
• vite