Built to order

Recipe Sharing Platform

This project is a web platform where home cooks publish recipes with photos, ingredients and step-by-step methods, and others discover them through search, categories and ratings. Recipes carry tested timings, difficulty levels and honest reviews; the publishing flow guides authors through basics, ingredients and steps. A likes-and-saves system surfaces the community's favourites. Suitable for B.E./B.Tech final-year projects in Computer Science, IT and Web Development.

Recipe Sharing Platform — project thumbnail preview
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The problem

Family recipes live in notebooks, phone galleries and memory — and when someone wants to share one properly, social media gives them a caption box and buries the post in a day. Cooking needs structure: an ingredient list you can shop from, steps in order, timings that were actually tested, and reviews from people who cooked it. This project builds a dedicated recipe platform around that structure: a publishing flow (basics → ingredients → method steps → photo), a discovery feed with category and diet filters, recipe pages with at-a-glance timings, and a review system where cooks report how the recipe turned out for them. Engagement is honest — likes, saves and ratings rather than vanity metrics — so the best-tested recipes rise. The demo ships with realistic recipes, reviews and photos so the platform feels alive on first load.

How it works

  1. A cook signs up and opens the publishing flow: title, category, diet, timings, servings and difficulty.
  2. Ingredients are entered one per line; method steps are added as numbered cards with optional per-step notes.
  3. A cover photo is uploaded, resized and thumbnailed by the image pipeline, then the recipe is published with a clean URL.
  4. Other users discover it via the feed, category filters or search — including ingredient search ("what can I make with paneer?").
  5. Cooks try the recipe and leave star ratings plus written reviews noting substitutions or timing tweaks.
  6. Likes and saves accumulate; the feed ranking weighs recency, rating and engagement so tested recipes surface.
  7. Authors watch their dashboard for views, likes and saves per recipe.

Tech stack:

  • Frontend: HTML5, CSS3, JavaScript (responsive)
  • Backend: PHP (Laravel) or Node.js + Express
  • Database: MySQL (users, recipes, ingredients, steps, reviews)
  • Image handling: upload, resize, thumbnails
  • Search: full-text across titles and ingredients
  • Auth: session-based user accounts
  • Deployment: shared hosting or VPS
Parameter Value
Recipe sections Basics, ingredients, method steps, photo
Filters Category, diet, max time, difficulty
Search Full-text on titles + ingredients
Reviews Star rating + written review per user per recipe
Photos 1 cover photo per recipe (design target)
Demo dataset Approximately 48 recipes with reviews

Project features

  • [Guided recipe publishing] Multi-section form — basics, ingredients, numbered steps, cover photo — with validation before a recipe goes live.
  • [Rich recipe pages] At-a-glance prep/cook time, servings and difficulty, full ingredient list, numbered method, and author info.
  • [Ratings & reviews] Star ratings plus written reviews where cooks report substitutions and results, shown on every recipe.
  • [Discovery & filters] Category chips (breakfast, festive, healthy), diet filters (veg, vegan, non-veg) and text search across titles and ingredients.
  • [Likes & saves] One-tap likes and a personal saved-recipes collection for each user.
  • [Author profiles] Each cook's published recipes, total likes and average rating in one place.
  • [Photo uploads] Cover photo per recipe with resizing and thumbnails generated on upload.

What is included

  • Complete web application source code (frontend + backend)
  • Database schema with migrations and seeded recipe data
  • Publishing flow, recipe pages, discovery feed and review modules
  • Image upload and thumbnail pipeline
  • Project report PDF (background, system design, database schema, methodology)
  • PPT presentation for final review
  • Viva Q&A preparation document (content modeling, search design, image handling)

Limitations & prerequisites

  • The demo uses generated food photographs as placeholders; a live community needs real user-uploaded photos.
  • One cover photo per recipe in the demo build; step-by-step photos are listed in future scope.
  • Ingredient search matches text, not semantics — "coriander" and "cilantro" are different strings to the search.
  • Nutritional information is not computed; the demo does not include a nutrition database.
  • Email notifications for new reviews are stubbed and need the buyer's SMTP credentials.

Frequently Asked Questions

How is a recipe published?

Through a guided flow: basics (title, category, diet, timings, servings, difficulty), ingredients one per line, numbered method steps, then a cover photo. Validation runs before publishing so incomplete recipes can't go live.

What makes the recipe page useful for cooking?

At-a-glance timings and difficulty, a clean ingredient list for shopping, numbered steps in order, and reviews where other cooks report what worked — including substitutions.

How does search work?

Full-text search across recipe titles and ingredient lists, plus category chips, diet filters and a max-time filter for weeknight cooking.

Can users save recipes?

Yes — one-tap saves build a personal collection, and likes plus ratings feed the feed ranking so the best-tested recipes surface.

Do authors get any stats?

Each author's dashboard shows views, likes and saves per recipe, plus their average rating across all recipes.

Is this project suitable for a final-year project?

Yes — for Computer Science, IT and Web Development programs. It is a complete content platform with publishing workflows, search, reviews and image handling. Suitable for B.E./B.Tech final-year projects in Computer Science, IT and Web Development.

Components & software requirements
  • Frontend: HTML5, CSS3, JavaScript (responsive)
  • Backend: PHP (Laravel) or Node.js + Express
  • Database: MySQL (users, recipes, ingredients, steps, reviews)
  • Image handling: upload, resize, thumbnails
  • Search: full-text across titles and ingredients
  • Auth: session-based user accounts
  • Deployment: shared hosting or VPS
Delivery information

Built-to-order project. Delivery timeline is shared after order confirmation based on current queue.

Support terms

Complete documentation, setup guide, and viva preparation included. Support for setup and explanation provided.

Download abstract (PDF)

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