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Build LogJune 25, 2026·9 min read
20 AI + Web Dev Projects You Can Build in a Week (Final Year Ready)
final year is here. your professor wants something "innovative." you want something that actually works, looks great on your resume, and doesn't take 3 months to build. here are 20 final year project ideas that combine AI and web development — each one is shippable in 5–7 days, has a real GitHub reference, and uses tools you already know (Next.js, React, OpenAI, LangChain). no filler. just projects.
Originally published at blog.akshatcodes.com
20 AI + Web Dev Projects You Can Build in a Week (Final Year Ready)
final year is here. your professor wants something "innovative." you want something that actually works, looks great on your resume, and doesn't take 3 months to build.
here are 20 final year project ideas that combine AI and web development — each one is shippable in 5–7 days, has a real GitHub reference, and uses tools you already know (Next.js, React, OpenAI, LangChain).
no filler. just projects.
what makes a good AI final year project?
before the list — here's what your evaluators are actually looking for:
- a measurable outcome (accuracy score, latency benchmark, user engagement metric)
- a real problem being solved — not just "we used GPT"
- a working deployment — a live URL beats a GitHub repo in every viva
keep that in mind as you pick from the list below.
projects 1–10
1. AI Resume Screener
upload a job description and multiple resumes → AI ranks candidates and explains why. add a recruiter dashboard with filters and scores.
why it works for finals: clear evaluation metric (ranking accuracy). real-world use case employers immediately understand.
stack: Next.js · OpenAI API · PDF parse
github: tcet-opensource/resume-screener
2. Smart Flashcard Generator
paste any text or PDF → AI generates spaced-repetition flashcards. track memory scores and show forgetting curve data.
why it works for finals: edtech use case, easy to demo, measurable (quiz scores before/after).
stack: React · OpenAI / Claude API · localStorage
github: krissolui/ai-flashcard
3. AI Cold Email Writer
input company name and role → AI generates a personalized outreach email. export to clipboard or auto-draft in Gmail.
why it works for finals: combines NLP with real-world productivity. easy to show live during presentation.
stack: Next.js · OpenAI · n8n
github: harshmriduhash/Cold-Emailer
4. Real-time Code Reviewer
paste code → AI reviews for bugs, security issues, and code style. show a side-by-side diff view with suggestions.
why it works for finals: clear output, demos well, shows AI applied to software engineering.
stack: React · Node.js · OpenAI
github: Kingo9/Ai-Powered-Code-Reviewer
5. AI Meeting Summarizer
upload an audio recording or paste a transcript → structured summary with action items, key decisions, and follow-ups.
why it works for finals: combines speech-to-text (Whisper) + LLM, two AI components in one project.
stack: Next.js · Whisper API · OpenAI
github: niawjunior/WhisperMeet
6. Fake News Detector
enter a news article URL or paste text → AI fact-checks against trusted sources and outputs a credibility score with citations.
why it works for finals: socially relevant, measurable (precision/recall on labeled dataset), impressive to evaluators.
stack: React · Claude API · Search API
github: Hunterdii/Smart-AI-Resume-Analyzer (borrow the GPT + React pipeline)
7. AI Habit Coach
set goals, log daily check-ins → get personalized AI nudges and weekly analysis reports with progress trends.
why it works for finals: demonstrates personalization and longitudinal data usage.
stack: Next.js · OpenAI · Supabase
github: modamaan/Ai-mock-Interview (swap interview logic for habit tracking)
8. GitHub Profile Roaster
enter any GitHub username → AI roasts (and secretly praises) your repos, commit patterns, and contribution graph.
why it works for finals: viral demo potential, shows GitHub API + LLM integration, easy to build in a day.
stack: Next.js · GitHub API · GPT-4
github: build fresh — 1 day max. alejandro-ao/openai-sql-generator for the API call pattern.
9. AI SQL Query Builder
describe your data in plain English → get production-ready SQL. paste your schema for schema-aware accuracy.
why it works for finals: developer tool with clear utility, text-to-SQL is a well-studied AI task you can benchmark.
stack: React · Claude API · Monaco Editor
github: marblexyz/aisqlgen
10. Document Q&A Chatbot (RAG)
upload any PDF → chat with it. RAG-based retrieval with source highlighting and citation attribution.
why it works for finals: covers embeddings, vector databases, and retrieval pipelines — the full modern AI stack.
stack: Next.js · LangChain · Pinecone / Supabase
github: mayooear/ai-pdf-chatbot-langchain (15k+ ⭐)
projects 11–20
11. AI Interior Design Suggester
upload a room photo → AI suggests furniture placement, color schemes, and decor links using GPT-4 Vision.
why it works for finals: multimodal AI (vision + text), strong visual demo, practical application.
stack: React · GPT-4 Vision · Tailwind CSS
github: narender-rk10/GenAI-Mock-Interview-Platform (same vision API architecture)
12. Personalized News Aggregator
pick topics → AI fetches articles, summarizes them, and ranks by relevance to your stated interests.
why it works for finals: recommendation systems + NLP, two AI techniques in one.
stack: Next.js · RSS + NewsAPI · OpenAI
github: AlexisBalayre/AI-Powered-Meeting-Summarizer (summarization pipeline)
13. AI-Powered Portfolio Builder
fill a form with your projects and skills → AI writes copy and generates a ready-to-deploy portfolio site.
why it works for finals: meta project — you build AI that builds things. great conversation starter in interviews.
stack: Next.js · Claude API · Vercel deploy
github: adrianhajdin/ai_mock_interviews (Next.js + AI full-stack reference)
14. Code Explanation Tool
paste any code snippet → AI explains it line-by-line for beginners. supports 15+ programming languages.
why it works for finals: educational AI, easy to evaluate (user comprehension surveys), useful to show in demos.
stack: React · Claude API · Highlight.js
github: bobmatnyc/ai-code-review
15. AI Mock Interview Trainer
select a role → AI asks questions, records your spoken answers, then gives structured feedback on content and delivery.
why it works for finals: combines Web Speech API + LLM, covers HR tech — a growing domain.
stack: Next.js · OpenAI · Web Speech API
github: darrylschaefer/mock-interviews-with-ai
16. Smart Recipe Generator
input ingredients you have → AI generates recipes with nutrition data, missing ingredient gaps, and substitution options.
why it works for finals: practical, demos well for non-technical audiences (useful outside CS).
stack: React · Claude API · USDA Nutrition API
github: arnavdeore25/AI-FlashCard-Generator (structured JSON output from LLM pattern)
17. AI Debate Partner
pick any topic and take a side → AI argues the opposite with citations. track debate scores across rounds.
why it works for finals: shows multi-turn conversation management, argumentation logic, and prompt engineering depth.
stack: Next.js · OpenAI · Supabase
github: SURESHBEEKHANI/Cold-Email-Automations (multi-agent architecture reference)
18. Multi-PDF Document Chatbot
upload multiple PDFs → chat with all of them at once. RAG with per-document source attribution.
why it works for finals: extends the standard RAG project with multi-source retrieval — shows deeper technical understanding.
stack: Next.js · LangChain · Supabase pgvector
github: ArmaanSeth/ChatPDF
19. AI Bug Report Generator
describe a bug in 2 lines → AI writes a complete GitHub issue with reproduction steps, severity label, and fix suggestions.
why it works for finals: developer tooling niche, practical, combines GitHub API + structured LLM output.
stack: React · Claude API · GitHub API
github: Nikita-Filonov/ai-review
20. Social Media Content Repurposer
paste a blog post → AI generates a Twitter/X thread, LinkedIn post, and Instagram caption — all at once.
why it works for finals: immediately useful, demos in 10 seconds, strong SaaS potential.
stack: Next.js · OpenAI · Clipboard API
github: github.com/topics/ai-social-media (search for latest repos)
which one should you actually build?
| goal | pick this | |---|---| | strong viva evaluation | #6, #10, or #18 — measurable outputs, citable metrics | | resume + portfolio impact | #15 (mock interview), #3 (cold email) | | viral demo / Instagram content | #8 (GitHub Roaster), #20 (Repurposer) | | SaaS / freelance upsell | #1 (resume screener), #10 (document chatbot) | | learning RAG + vector DBs | #10 or #18 | | quickest to ship | #8, #14, or #20 — each under 2 days |
frequently asked questions
can i use these ideas for my BTech / MCA final year project?
yes — all 20 are suitable for CS, IT, and MCA programs. projects #1, #6, #10, and #15 have enough technical depth for a full dissertation if you extend them.
do i need a paid API key?
OpenAI, Gemini, and Claude all have free tiers sufficient for building and demoing. Supabase, Vercel, and Pinecone also have generous free plans.
which is best for a first-time AI project?
start with #2 (flashcard generator) or #14 (code explainer). both are single-API-call projects with clear inputs and outputs — perfect for learning the pattern before adding complexity.
can i submit these as a college project if they're open source?
yes — as long as you extend and customize the base repo enough to call it your own implementation. add a feature, change the domain, run experiments, and document your contributions.
tl;dr
20 AI + web dev projects, all buildable in under a week:
- AI Resume Screener
- Smart Flashcard Generator
- AI Cold Email Writer
- Real-time Code Reviewer
- AI Meeting Summarizer
- Fake News Detector
- AI Habit Coach
- GitHub Profile Roaster
- AI SQL Query Builder
- Document Q&A Chatbot (RAG)
- AI Interior Design Suggester
- Personalized News Aggregator
- AI Portfolio Builder
- Code Explanation Tool
- AI Mock Interview Trainer
- Smart Recipe Generator
- AI Debate Partner
- Multi-PDF Document Chatbot
- AI Bug Report Generator
- Social Media Content Repurposer
pick one. ship it. put the live link on your resume.
if you build one of these, tag me @code.akshat.in on instagram — i'd genuinely love to see what you ship.
Written by Akshat Singh
35K+ followers
Hey, I'm Akshat — a full-stack dev, AI tinkerer, and relentless builder who documents every step of the journey. I share what I learn in real-time — dev tutorials, design insights, and AI + tech news.
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