The Problem
Student AI work is often buried inside college showcases, scattered links, or one-off hackathon posts. Investors, startups, and recruiters miss early talent because there is no structured discovery layer built for this category.
India's AI Student Innovation Directory
Discover, Showcase, and Fund the Next Generation of AI Projects
INFOSIS AI helps students showcase AI innovations while helping investors, startups, recruiters, incubators, and mentors discover talent, technical depth, and early opportunity in one structured platform.
Choose Student, Investor, or Mentor
Open a tailored workspace after login
Move into submission or discovery faster
Student onboardingInvestor onboardingMentor onboardingProject discoverySubmission workflow
infosis.ai/browse-projects
Search AI projects...
All Domains
Filter
1,200+
Projects Listed
800+
Student Builders
200+
Investors & Mentors
MedScan AI
Healthcare AI
LinguaFlow
NLP
VisionCrop
Computer Vision
12 new submissions this week
Funding Match
3 investors interested
Project Reviewed
Admin approved
Why this platform matters
A sharper bridge between student AI work and real opportunity.
The value is not only visibility. It is better structure, better discovery, and a more credible path from project work to funding, mentorship, and collaboration.
The Solution
INFOSIS AI creates a moderated AI project directory where students submit rich project profiles and discovery-side users browse through clean filters, credible context, and direct connection pathways.
How it works
A simple workflow that makes the platform feel practical, not speculative.
The experience is built to be understandable from the first click, for both students and the people discovering them.
01
Student submits an AI project
Projects are submitted with demos, GitHub links, documentation, deck links, and a clear explanation of the problem, solution, and current stage.
02
Admin reviews and moderates
Each submission moves through a review workflow before publication, helping the directory stay organized, credible, and useful for discovery.
03
Project goes live in the directory
Approved projects receive a structured profile page that makes it easier to understand the founder, the technical approach, and the opportunity.
04
Partners discover and connect
Investors, recruiters, startups, colleges, and mentors can explore, shortlist, and reach out through a more focused innovation pipeline.
Platform features
Built as a product layer for AI project discovery, not a static gallery.
Each capability supports either submission quality, discovery quality, or the connection flow between both sides.
Rich Project Submission
Support project images, demo videos, GitHub repositories, pitch decks, and linked documentation in one structured flow.
Search & Filter Discovery
Explore by AI domain, college, state, stage, funding status, and technical stack without digging through noise.
Investor Access
Bookmark interesting projects, request introductions, and review deck-ready submissions with a cleaner discovery workflow.
Student Visibility
Give projects a more credible public presence and help students get discovered beyond campus networks.
Admin Moderation
Approve, reject, feature, and manage submissions with a workflow designed for clarity and platform quality.
Confirmation & Notifications
Provide on-screen confirmations, email acknowledgment, and internal alerts when new projects enter the review queue.
Featured project preview
A clearer picture of how approved projects can appear.
The cards below are illustrative placeholders showing the intended quality and structure of the public directory experience.
Preview
Computer Vision/Prototype
Placeholder: Vision Atlas
Aarav M. / Sample Student · Sample Institute of Technology
Illustrative preview of how an approved project can appear with concise context, tags, and a clear call to action.
PreviewEdge AIInspection
View ProjectPreview
Generative AI/MVP
Placeholder: Mentor Loop
Ishita R. / Sample Student · Sample Engineering College
A sample project card that demonstrates how students can present research-backed work to discovery-side users.
PreviewLLMWorkflows
View ProjectPreview
Healthcare AI/Idea
Placeholder: Clinic Signal
Rahul N. / Sample Student · Sample HealthTech Lab
This placeholder card shows the intended balance of technical detail, founder credibility, and project maturity.
PreviewHealthcareTriage
View ProjectAI domains
A broad enough taxonomy for student innovation, without losing focus.
Categories help discovery-side users move faster and help students position work with greater precision.
Computer Vision
Detection, analysis, inspection, and image-led intelligence systems.
Placeholder: 120+ projects
NLP
Language understanding, multilingual assistants, and text intelligence.
Placeholder: 95+ projects
Generative AI
Copilots, creative systems, workflow agents, and applied model experiences.
Placeholder: 140+ projects
Robotics
Autonomous systems, control stacks, navigation, and embodied intelligence.
Placeholder: 48+ projects
Healthcare AI
Clinical support, diagnostics, patient workflows, and medical intelligence.
Placeholder: 62+ projects
Fintech AI
Risk analysis, fraud workflows, financial operations, and compliance support.
Placeholder: 54+ projects
EdTech AI
Learning systems, research copilots, and educational tooling.
Placeholder: 73+ projects
Others
Cross-domain AI work that spans climate, logistics, civic, and more.
Placeholder: 30+ projects
For investors and startups
Built for investors, recruiters, and innovation partners.
The investor-facing side of the product is designed to feel selective, efficient, and better aligned with serious discovery workflows.
Discover high-potential student AI projects
Explore a structured surface built for finding technically interesting student work earlier.
Connect with early talent and founders
Use the platform to identify promising builders before they disappear into disconnected campus channels.
Access curated, filterable opportunities
Move from broad browsing to sharper shortlists with cleaner project packaging and category signals.
Sample investor dashboard
Discovery benefits built for mature users.
Advanced filtering
Find projects by technical focus, maturity, and institution faster.
Saved shortlists
Organize interesting student projects before outreach and diligence.
Introduction workflow
Create cleaner connections between discovery-side users and student teams.
Pitch deck review
Assess project maturity through more structured project packaging.
Why this matters
Advanced filtering by domain, stage, and college
Save and bookmark project shortlists
Request introductions through the platform
Review pitch decks in a more organized workflow
Spot emerging innovation themes earlier
For student builders
Have an AI project worth
showing the world?
Submit demos, GitHub repos, documentation, and research-backed work in a format built to earn visibility beyond college.
Reach investors & startups
Get your work in front of the people who can fund and accelerate it.
Get mentorship
Connect with domain experts who can guide your next build.
Unlock funding paths
Structure your project for real funding conversations.
Build credibility
A reviewed, structured profile that lives beyond your college.
What strong submissions include
- 1A clear problem statement and intended user outcome
- 2Technical stack, AI domain, and stage of progress
- 3Demo video, GitHub link, and pitch deck
- 4A realistic ask — funding, mentorship, or partnership
All submissions are reviewed by our team within 48 hours before going live.
Platform readiness
Trust comes from clarity, moderation, and a more organized discovery system.
The platform should feel reliable to students, investors, and institutional partners from the first interaction.
Structured review before publishing
Projects are moderated before they become visible in the directory, helping the platform stay credible.
Originality confirmation during submission
Students explicitly confirm originality and platform terms as part of the submission workflow.
Clear moderation workflow
Submissions move through an understandable state change from pending review to approved or rejected.
Secure and organized discovery
The goal is not raw volume. It is a more structured environment for discovery-side users and student teams alike.
FAQ
Clear answers for students, investors, and ecosystem partners.
The platform is ambitious, but the experience should remain understandable and low-friction.
The platform is designed for students and student-led teams working on AI-first projects, prototypes, research-backed products, or applied systems.