Bird Watching Log Android App with Species Checklist and Sighting Photos

A bird watching log Android app is a mobile application that records bird sightings in the field: the watcher picks a species from a checklist, adds the date, time and location note, attaches a photo, and keeps every entry searchable on the device. Unlike a paper notebook, where entries pile up in visit order and a species seen months ago is hard to find again, the app ties every sighting to a named species and a checklist tick, so the log can be searched by species or by location and summarised in simple counts. It is built offline-first, so logging, searching, and viewing statistics work on the device with no account and no internet connection.

This is a built-to-order software project: the Android application, the working demo, and the complete documentation are prepared fresh for you, with the starter checklist and entry fields matched to your college's requirements.

The Problem
A bird watching log Android app is a mobile application that helps a birdwatcher keep a reliable personal record of every bird seen in the field. The watcher opens the app during or after an outing, picks the species from a checklist, and saves the date, time, location note, photo, and a short field note as one entry that can be found again later. Paper notebooks create the core problem: entries pile up in visit order, a species seen months ago is hard to find, and there is no quick way to count how often each species has been seen. Loose phone photos make the problem worse, because a photo alone carries no species name or location note. A dedicated log solves this by tying every sighting to a named species and a checklist tick, so the watcher can search by species or location, watch the checklist fill up over a season, and review simple counts without re-reading every page.

The bird watching log works as a single on-device loop that runs from the moment a bird is seen to the moment the season summary is reviewed. The watcher starts from the species checklist, where each bird is either unticked or marked as seen, and opens the sighting form when a bird is spotted. The form records the species, the date and time of the sighting, a short location note, an optional photo from the device, and a free-text note about behaviour or flock size. Saving the entry writes one record into the local on-device database and ticks the species on the checklist at the same time, so the log and the checklist never disagree. The sightings list then shows the newest entry first, search and location filters narrow that list on demand, and the statistics panel recounts totals and per-species counts from the same stored records, so every view in the app reflects one shared log.

1. The watcher opens the species checklist and sees which of the starter birds are already ticked and which are still unseen.
2. When a bird is spotted, the watcher opens the sighting form and picks the species from the checklist.
3. The watcher confirms the date and time of the sighting and types a short location note, such as the name of a lake or garden.
4. The watcher adds an optional photo from the device photo picker and a free-text note about behaviour, flock size, or weather.
5. Saving the entry writes one record into the on-device database and ticks the species on the checklist at the same time.
6. The sightings list updates with the newest entry first, and the statistics panel recounts totals and per-species counts from the stored records.
7. At any later point, the watcher searches by species name or filters by location to find a past sighting without re-reading the whole log.

Tech stack:

• Kotlin · Android app development
• Android Studio · official Android IDE
• Jetpack Compose · Android UI toolkit
• Room · on-device local database
• Camera API · on-device photo capture
• Material Design · Android design system
• HTML · CSS · JavaScript · demo build only

The bird watching log is built around four capabilities that work together: a tickable species checklist, a complete sighting entry, fast search and filtering, and simple statistics that summarise the log at a glance. The checklist holds widely known Indian birds as starter examples and tracks progress as each species is ticked on first sighting. The sighting entry captures species, date, time, a location note, an optional photo, and a free-text note in a single record, so nothing about an outing depends on memory. Search and location filters then make that record useful, because any past sighting can be found by species name or by the place it was seen. Statistics close the loop by counting sightings per species, total sightings, and species seen, giving the watcher a season summary without manual tallying. Around those four, offline-first local storage keeps the whole log on the device.

• [Tickable species checklist] The checklist ships with 12 widely known Indian birds as starter examples, such as the Indian Robin, Common Myna, and Common Kingfisher, and each bird is ticked on first sighting with a running progress count.
• [Complete sighting entries] Each sighting stores species, date, time, a location note, an optional photo, and a free-text note as one record, so behaviour, flock size, and weather observations stay attached to the sighting they describe.
• [Photo attach from the device] The watcher attaches a photo from the device photo picker to any sighting, and the photo is stored on the device with its entry; the demo shows labelled photo slots, not real bird photographs.
• [Search by species] A search box filters the sighting list by species name as the watcher types, so a past sighting of one bird can be found without scrolling through the whole log.
• [Filter by location] A location filter narrows the list to sightings saved at one place, such as a lake or a campus garden, making it easy to compare what was seen at different outings.
• [Simple sighting statistics] The app counts total sightings, species seen, checklist progress, and sightings per species, and redraws those counts from the same stored records every time an entry is added.
• [Offline-first local storage] Every entry lives in an on-device database with no account and no upload, so logging, searching, and statistics work with no internet connection and the log stays private to the device.

Implemented in the demo, delivered in the full build, and future scope, kept separate: the HTML demo already implements the tickable checklist with 12 pre-seeded species, 8 pre-seeded sightings, search, location filtering, per-species statistics, and the sighting entry form with a photo slot. The delivered Android build adds the native Kotlin application, the Room on-device database, and device photo-picker capture. Photo identification from pictures, GPS tracking, migration data, cloud sync, and social sharing are future scope only, and are not part of the base project.

• Complete Android application source code with the checklist, sighting entry, search, filter, and statistics features above
• Single-file HTML demo of the log with 12 pre-seeded species and 8 pre-seeded sightings
• Setup instructions for running the application and using the demo
• Project report PDF covering background, design, implementation, and limitations
• PPT presentation for the final review
• Viva Q&A preparation document covering Android storage, checklist design, photo handling, and offline-first design

To request a quotation, message Projectech on WhatsApp with the project name, the scope you want (the base log app, or the base app plus cloud backup), and your delivery date; Projectech replies with a quotation covering scope, price, and delivery timeline.